GitHub topics: lstm-neural-networks
KittenCN/predict_Lottery_ticket_pytorch
pytorch下基于transformer / LSTM模型的彩票预测
Language: Python - Size: 171 KB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 99 - Forks: 37
MunjPatel/LSTM-FinTrends
LSTM-FinTrends is an end-to-end project showcasing stock index direction forecasting using an LSTM model with derived metrics. It demonstrates a complete workflow, from data collection with yfinance to visualization via a Flask app. Automated using GitHub Actions, this project emphasizes the setup and execution of DL in financial forecasting.
Language: Python - Size: 7.78 MB - Last synced at: about 14 hours ago - Pushed at: about 15 hours ago - Stars: 2 - Forks: 0
jarif87/predictive-seq-genix
SequenceForesight: A Django-based web app with a futuristic UI that predicts the next number in a 10 number sequence, featuring real-time input validation and responsive design.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
skforecast/skforecast
Time series forecasting with machine learning models
Language: Jupyter Notebook - Size: 551 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1,335 - Forks: 162
jarif87/language-sequence-model
Predict the Next Word" is a Django app using TensorFlow to predict words after a 50-word sentence, with a cyberpunk-themed interface featuring neon colors, particle animations, and real-time word count. more concise
Language: Python - Size: 8.75 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
TatarchI/DataScience_Portfolio_IvanTatarchuk
Data Science portfolio
Language: HTML - Size: 36.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
FabianCormier/Cross-Domain-transfer-learning-from-Human-Motion-to-Robot-Fault-Detection
The code trains an LSTM-based residual model on human motion data and applies transfer learning to detect robotic joint faults. It preprocesses data, maps robot features to human-like patterns, and fine-tunes a model while freezing early layers. The optimized model is evaluated with class weighting, callbacks, and feature importance analysis.
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0
VishvasRanjan/Time-Series-Forecasting-LSTM-GARCH
Time‑series forecasting: LSTM vs. ARMA‑GARCH on stock price & volatility data.
Size: 2.93 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0
Alecraft34/Earthquake-Explorer
Earthquake Explorer is a web app that helps you track earthquake events worldwide using a free API. 🌍 It displays real-time data like magnitude and location on an interactive map. 🗺️
Language: HTML - Size: 22.5 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
shehab-ashraf/Group-Activity-Recognition
Reproduced "Hierarchical Deep Temporal Models for Group Activity Recognition" paper.
Language: Jupyter Notebook - Size: 2.06 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
Maksim09000/real-time-stock-predictor
Real-Time Stock Predictor offers a streamlined way to analyze stock market trends using live data. 📈 With powerful features and efficient algorithms, it empowers users to make informed trading decisions. 🐱💻
Language: Python - Size: 9.77 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
sebastian2005-RP/GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch
This repository implements a GPU-accelerated next-word prediction model using PyTorch and LSTM. It includes data preprocessing with NLTK, vocabulary creation, training on tokenized text, and generating text predictions, starting from a given input phrase.
Language: Jupyter Notebook - Size: 329 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
Hukky-mcsc/Sign-Language-Communication-Using-LSTM
This project uses Long Short-Term Memory (LSTM) networks to improve communication through sign language recognition. It processes video input to translate gestures into text, enhancing accessibility for the hearing impaired.
Language: Jupyter Notebook - Size: 325 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
GGasset/CudaNeatNetwork
Easy to use, Neural Network framework made from scratch in CUDA/C++, featuring LSTMs, able to train using Supervised learning and Evolution methods
Language: Cuda - Size: 818 KB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
MadhukarSaiBabu/Enhancing-Coral-Reef-Restoration-with-YOLOv8-Real-Time-Monitoring-Using-Deep-Learning
This study uses YOLOv8, RNNs, and LSTMs to detect threats like COTS and predict reef health trends, enabling real-time monitoring and smarter restoration strategies to support long-term resilience of coral reef ecosystems.
Size: 0 Bytes - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
IlijaMihajlovic/Amazon-Stock-Price-Forecasting-Using-LSTM-Neural-Networks
This project aims to forecast Amazon's stock prices using Long Short-Term Memory (LSTM) neural networks, implemented with PyTorch and scikit-learn.
Language: Jupyter Notebook - Size: 406 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0
zahra-ahmadbeigloo/Deep-Learning-Projects
This repository contains a collection of deep learning projects implemented from scratch and using Keras/TensorFlow. The focus is on learning and experimenting with different neural network architectures for both foundational understanding and practical application.
Language: Jupyter Notebook - Size: 7.56 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
nrdnay/India_Petroleum_Consumption
In this project, the consumption of petroleum products in India was examined, a consumption forecast model was created, model performance was measured and future consumption of petroleum products was estimated between April 2020 - February 2023. The link is below for the Interesting Analysis Report of Petroleum Products Trend in India :
Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
guilhermegranchopro/Prometheus
Quantitative Finance Research
Language: HTML - Size: 447 MB - Last synced at: 3 days ago - Pushed at: 9 days ago - Stars: 5 - Forks: 0
ugyenn-tsheringg/Image-Captioning-System-for-Visually-Impaired-Individals-using-CNN-LSTM-VQA-TTS
Developed a web-based image captioning system that evaluates feature extractors, integrates attention mechanisms, and combines VQA and TTS for visually impaired individuals.
Language: Jupyter Notebook - Size: 5.15 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0
MartinuzziFrancesco/LuxRecurrentLayers.jl
A comprehensive collection of 25+ recurrent neural network layers for Lux.jl
Language: Julia - Size: 443 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 4 - Forks: 0
t3i8m/Comparative-Study-NMT
A project for the comparative analysis of NMT architectures (Seq2Seq LSTM, MarianMT, M2M100), evaluating accuracy and noise robustness.
Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
Size: 4.98 MB - Last synced at: 9 days ago - Pushed at: 11 days ago - Stars: 211 - Forks: 19
tensorlayer/awesome-tensorlayer
A curated list of dedicated resources and applications
Size: 94.7 KB - Last synced at: 9 days ago - Pushed at: over 5 years ago - Stars: 269 - Forks: 59
aadhakal/Deep-Learning
This repository is a collection of deep learning projects I've implemented as part of my CS coursework, research, and late-night experiments with coffee and curiosity as my best friends.
Language: Jupyter Notebook - Size: 920 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
gaurav-bhardwaj29/sentzr
how collective sentiment moves the market
Language: Jupyter Notebook - Size: 7 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0
DiFronzo/LSTM-for-Human-Activity-Recognition-classification
Deep convolutional and LSTM feature extraction approach with 784 features.
Language: Jupyter Notebook - Size: 60.5 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 7 - Forks: 1
rakibhhridoy/PredictingSequence-TimeSeriesAnalysis
Time series data easy handling purposes in TensorFlow and python functional programming. Time Series data is handled and pre-processed by different steps,like making window of the data,splitting data for model purpose is also different than other processing methods. All has combined for easy access.
Language: Jupyter Notebook - Size: 5.2 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0
AI4Finance-Foundation/Quantifying-ESG-Alpha-using-Scholar-Big-Data-ICAIF-2020
Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.
Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 76 - Forks: 23
BJW333/ARGUS
ARGUS is a personal AI assistant built using Python and TensorFlow. It is designed to perform various tasks such as recognizing wake words, interacting through natural language, performing web searches, opening and closing applications, retrieving news, and more.
Language: Python - Size: 84.7 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0
Shiva-Khatter/DART---Deepfake-Analysis-and-Realism-Test
This project is a web application designed to detect deepfake videos using advanced machine learning techniques. The backend is powered by a pre-trained model that leverages Convolutional Neural Networks (CNNs) with InceptionV3 architecture and Recurrent Neural Networks (RNNs) utilizing Gated Recurrent Units (GRUs).
Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
anushkaBala/STAMPEDE-DETECTION
JanRakshak is a smart public safety monitoring system that uses real-time video analysis and AI to detect crowd anomalies, potential stampedes, and agitation levels during public gatherings, festivals, or protests—alerting authorities instantly to prevent disasters and ensure citizen safety.
Language: Python - Size: 11.6 MB - Last synced at: 6 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
LinukPerera/Neural-Network-Driven-Augmented-Reality-for-Gesture-Control
Leveraging Neural Networks and Semi-Supervised Learning for recognising Instinctive Gestures. Goal of this project is to achieve Instinctive Gesture recognition.
Language: Python - Size: 136 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1 - Forks: 0
BBahtiri/LSTM-Assisted-Viscoelastic-Viscoplastic-Model-FEM
A finite element implementation of a viscoelastic viscoplastic constitutive model using the deal.ii library with the option to include a pretrained Deep-Learning model
Language: C++ - Size: 967 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 9 - Forks: 5
mark-eskander/SenalyZer-Sentiment-Analysis-Classification-Scrapper
Whether you are Customer or Seller, Enhance Your Experience using Senalyzer.
Language: C# - Size: 35.4 MB - Last synced at: 2 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
CaptainE/RNN-LSTM-in-numpy
Building a RNN and LSTM from scratch with NumPy.
Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 9 days ago - Pushed at: 12 months ago - Stars: 43 - Forks: 5
Huzyy/Sequential-Learning-Neural-Networks
Implementing Sequential Learning, specifically RNN and LSTM algorithms using TensorFlow/Keras to compare the different algorithms for sequence learning. Comparison analysis of a simple RNN and LSTM.
Language: Jupyter Notebook - Size: 3.97 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
omerbsezer/LSTM_RNN_Tutorials_with_Demo
LSTM-RNN Tutorial with LSTM and RNN Tutorial with Demo with Demo Projects such as Stock/Bitcoin Time Series Prediction, Sentiment Analysis, Music Generation using Keras-Tensorflow
Language: Python - Size: 290 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 790 - Forks: 310
safblossom/cryptocurrency-forecast
This project analyzes and forecasts Bitcoin exchange rates using time series models. It compares ARIMA and LSTM approaches to predict cryptocurrency price movements. The dataset spans daily BTC/USD prices from 2012 to 2024. It demonstrates practical steps for data preprocessing, modeling, and evaluation.
Language: Jupyter Notebook - Size: 980 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0
rlhinrichs/neural-networks
📊 Time-Series Forecasting for Wearable Device Sensors
Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
Jaidane-Aziz/DAPT_Project_TBS_2025
Final project for Dynamic Asset Pricing Theory Course @ Tunis Business School |
Language: Python - Size: 5.33 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
GitGinocchio/WeatherPredictionWithGithubActions
The combination of an Artificial Intelligence and GitHub Actions to obtain weather data, analyze it and make weather forecasts
Language: Python - Size: 57.6 MB - Last synced at: about 4 hours ago - Pushed at: about 4 hours ago - Stars: 2 - Forks: 1
Shiva-Prasad-Naroju/Next-word-LSTM
A deep learning project to predict the next word in a sentence using an LSTM-based Recurrent Neural Network.
Language: Jupyter Notebook - Size: 4.31 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
ShubhamKukreti07/Dibetic-Retinopathy-Detection-using-Convolutional-Neural-Network
Developed a deep learning model for the automated detection of diabetic retinopathy from retinal images. Utilised convolutional neural networks (CNNs) to analyse retinal images and classify the severity of the disease. Employed data augmentation and image pre-processing to achieve high accuracy.
Language: Jupyter Notebook - Size: 7.88 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 1
kowyo/LSTMNetworks
Time Series Forecasting Using MATLAB and LSTM
Language: MATLAB - Size: 3.3 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
AhmedMotasemAlhanbali/CNN-model-for-Mnist
This repository contains a CNN model specifically designed for recognizing handwritten digits from the MNIST dataset. 🖥️ The model reaches 100% accuracy on the test set, showcasing its strong performance in digit classification. 📊
Language: Jupyter Notebook - Size: 789 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
phreakyphoenix/TV-Script-Generation
Do you love Seinfield and wish it never ended. Check out this repo to create your own Seinfield scipt :cowboy_hat_face: Made with :heart: in Pytorch. Keep spreading love and laughter and do :star2: the project. Cheers!
Language: HTML - Size: 177 KB - Last synced at: 7 days ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
luigiifan/Gojek-App-Sentiment
Gojek App Sentiment Analysis with Deep Learning Algorithm
Language: Jupyter Notebook - Size: 11.3 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
harmeshgv/YoloV8-LSTM-video-Classification
A real-time violence detection system leveraging YOLO models for object detection and scene analysis. Extracted features are processed using an LSTM-based classifier to differentiate violent and non-violent actions. The system generates an automated incident report, summarizing key events and highlighting detected violence with visual insights.
Language: Jupyter Notebook - Size: 74.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0
KashifMoin1410/Text-Sentiment-Analysis
This project analyzes tweet sentiments using both traditional machine learning (Logistic Regression, Ridge, XGBoost) and deep learning (LSTM) models. The workflow covers text preprocessing, feature engineering, model training, and evaluation. Logistic Regression achieved an R² score of 0.80, while the LSTM model reached ~76% validation accuracy.
Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
MathurUtkarsh/Video-Captioning-Using-LSTM-and-Keras
Generating Video Caption Using LSTM
Language: Python - Size: 122 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
Language: Python - Size: 8.02 MB - Last synced at: 28 days ago - Pushed at: over 1 year ago - Stars: 683 - Forks: 243
El-djaBlo/Anomaly-Detection-in-Videos
This project detects abnormal events in surveillance videos (e.g., theft, vandalism) using deep learning. It extracts spatiotemporal features with C3D and classifies them with an LSTM-based neural network. The system is optimized for binary classification (normal vs anomaly).
Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
ZWeiweiY/ASL_Alphabets_Hand_Sign_Tracker
An ASL (American Sign Language) alphabets tracker system for GestureQuest.
Language: Jupyter Notebook - Size: 69 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0
DarylFernandes99/Phrase-based-Poem-Generation
Deep learning poetry generator using bidirectional LSTM neural networks. Input user phrases to generate creative poems with customizable stanzas. Built with TensorFlow/Keras, featuring advanced text preprocessing, sequence modeling, tokenization, and interactive poem generation interface.
Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Language: Jupyter Notebook - Size: 36.4 MB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 595 - Forks: 126
scorpionhiccup/StockPricePrediction
Stock Price Prediction using Machine Learning Techniques
Language: Jupyter Notebook - Size: 7.53 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 1,438 - Forks: 432
Abdul-Omira/SalmonNet
Me and the boys are trying to use Deep Learning to improve salmon forecasting.
Language: Jupyter Notebook - Size: 7.35 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1
smousavi05/EQTransformer
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
Language: Python - Size: 50.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 348 - Forks: 156
girishp92/Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones
This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.
Language: Python - Size: 139 MB - Last synced at: 15 days ago - Pushed at: over 7 years ago - Stars: 84 - Forks: 37
mravanelli/pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
Language: Python - Size: 567 KB - Last synced at: 30 days ago - Pushed at: over 3 years ago - Stars: 2,387 - Forks: 445
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2,703 - Forks: 531
Zhenye-Na/DA-RNN
📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
Language: Jupyter Notebook - Size: 7.55 MB - Last synced at: 27 days ago - Pushed at: over 4 years ago - Stars: 423 - Forks: 141
vaish-exe/restaurant-closure-prediction
Predicting restaurant closures using Yelp review sentiment, elite user engagement, and cuisine trends. Combines NLP, logistic regression, and LSTM modeling.
Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ClaireJ2100/icbc-stock-financial-analysis
Analysis and forecasting of ICBC A-share stock price (2020-2024) using Python, LSTM, and financial risk metrics.
Language: Jupyter Notebook - Size: 1000 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
axelvyrn/TiresiasIQ
PyTorch Behavior Prediction Engine
Language: Python - Size: 65.4 KB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 0
EpicElectrons/ZEROHACK-CODE
ZeroHack
Language: TypeScript - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
SURESHBEEKHANI/Recurrent_Neural_Network-
RNNs and LSTMs are both used for sequential data. RNNs are trained with backpropagation through time but can face issues with vanishing gradients. LSTMs, with their gated architecture, are designed to address these issues and handle long-term dependencies effectively.
Language: Jupyter Notebook - Size: 717 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
mrosol/Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
Language: Python - Size: 213 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 15
danmcleran/tinymind Fork of intel/cppnnml
Tinymind is a Neural Network and Machine Learning project intended to provide a C++ template library for neural nets and machine learning algorithms within embedded systems.
Language: C++ - Size: 1.44 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 2
dennisvdang/chorus-detection
A deep learning project for automated chorus detection in songs, featuring a command-line interface (CLI) tool that allows users to input a YouTube link and utilize a pre-trained CRNN model to detect chorus sections from a song on YouTube
Language: Jupyter Notebook - Size: 159 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 24 - Forks: 4
Ayushverma135/RetentionAI
Forecasting Customer Retention Trends by analyzing historical patterns and identifying key indicators of customer loyalty or churn.
Language: Jupyter Notebook - Size: 163 KB - Last synced at: 19 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
hafs96/Detection-Sentiments-RNN
Implémentation d’un modèle RNN pour la détection de sentiments à partir de phrases textuelles.
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Omar10lfc/Neural-Network-Project-Weather-Forcasting
In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluation using historical weather data. The goal is to compare the performance of LSTM and GRU networks in forecasting weather conditions based on past trends
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
AI4Finance-Foundation/Scholar-Data-Driven-Alpha-in-AI-Industry-IEEE-BigData-2019
Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData 2019.
Language: Jupyter Notebook - Size: 69.9 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 7 - Forks: 12
mr-ravin/cerebral_lstm 📦
This repository includes the Pytorch implementation of Cerebral LSTM as a PIP Package.
Language: Python - Size: 25.2 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Vd1299/NVIDIA_Stock_Prices_Bidirectional_LSTM_network_Analysis
Dual Bidirectional LSTM approach for time series analysis, featuring both regression (next 10 minutes prediction) and classification (direction forecasting) models. Built with TensorFlow/Keras, this implementation provides precise numerical forecasts and actionable directional insights from the Nvidia stock dataset.
Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
Wan7iku/GARCH-LSTM-on-Interest-Rates-rates-
Analysing kenyan inter bank rates with a Recurrent Neural Network -(LSTM) model.
Language: Jupyter Notebook - Size: 153 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
VyjayanthiPolapragada/Early_Sepsis_Detection_ML
An end-to-end project leveraging clinical datasets (PhysioNet, MIMIC-IV, MIMIC-IV-ED) to develop and compare ML and LSTM-based models for early sepsis prediction.
Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
VivekPa/IntroNeuralNetworks
Introducing neural networks to predict stock prices
Language: Python - Size: 31.3 KB - Last synced at: 28 days ago - Pushed at: almost 6 years ago - Stars: 755 - Forks: 207
KaushalprajapatiKP/LSTM_rnn_nifty_50_prediction_next_day
This project is created for stock price prediction of Nifty50 index using LSTM neural networks. This project forecasts the next day's stock prices based on historical data from the Nifty 50 index, utilizing data preprocessing, feature scaling, and model training with TensorFlow and Keras. This app is deployed on Streamlit platform.
Language: Jupyter Notebook - Size: 325 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
valeria-gonzalez/PM25-forecasting-api
API for PM25 forecasting using LSTM
Language: Python - Size: 223 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
NeuroLabsIITH/Single-neuron-simulation-for-generative-purposes-using-Izhikevich-model
Simulate and forecast single-neuron dynamics using the Izhikevich model in Python. This project supports multiple neuron types, parameter sweeps, and integrates advanced time series forecasting (TimeGPT and LSTM-based residual correction) for generative modeling of neuronal activity.
Language: Python - Size: 431 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
davidrsch/LSTM_UTS
A web app made with R for the implementation of vanilla LSTM networks for univariate time series forecasting.
Language: HTML - Size: 12.7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1
JHansiduYapa/CNN-LSTM-Image-Caption-Generator
This repository implements an image caption generator using a pretrained ResNet101 for feature extraction and an LSTM network for generating captions from images.
Language: Jupyter Notebook - Size: 9.89 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
dilettagoglia/Signal-Processing
🔁Graphical models, Recurrent Neural Networks and SIFT algorithm for image processing, signal analysis and timeseries forecasting (MD Course: Intelligent Systems for Pattern Recognition)
Language: Python - Size: 7.08 MB - Last synced at: 1 day ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0
novandi18/exoplanet-habitability-prediction-rnn-knn
Exoplanet Habitability Prediction with Recurrent Neural Networks and K-Nearest Neighbors
Language: Jupyter Notebook - Size: 703 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
ksdkamesh99/Spam-Classifier
A Natural Language Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like multinomial-naive-bayes,logistic regression,svm,decision trees to compare accuracy and using various data cleaning and processing techniques like PorterStemmer,CountVectorizer,TFIDF Vetorizer,WordnetLemmatizer. It is implemented using LSTM and Word Embeddings to gain accuracy of 97.84%.
Language: Jupyter Notebook - Size: 510 KB - Last synced at: 23 days ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 11
naitik2314/Energy-Anomality
Project developed using LSTM (Deep Learning) to predict energy load, hence, helping in grid optimization
Language: Jupyter Notebook - Size: 904 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
dimpupraharsh/Time-Series-Forecasting-A-Comparative-Study-of-ARIMA-LSTM-GRU
📌 Short Description: This repository presents a comparative analysis of ARIMA, LSTM & GRU models for time series forecasting using both quarterly sale and daily stock prices datasets. The project includes data preprocessing, model implementation, performance evaluation to identify the most effective forecasting techniques
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
AM-Ankitgit/Complete-Deep-Learning-Algorithms
deep-learning machine-learning
Language: Jupyter Notebook - Size: 196 MB - Last synced at: about 9 hours ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
harshtikuu/Abnormal_Event_Detection
Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder
Language: Python - Size: 21.8 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 177 - Forks: 85
d-kavinraja/MouthMap
Deep learning project aimed at converting lip movements into meaningful sentences.
Language: Jupyter Notebook - Size: 675 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 3
Haleshot/AI-ML-DL-NLP-CV
This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.
Language: Jupyter Notebook - Size: 84.6 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 3 - Forks: 1
dimitris1pana/nlp_lab_unipi
Introduction to Natural Language Processing course taught during the Spring Semester at the Department Of Informatics - University of Piraeus,Greece
Language: Jupyter Notebook - Size: 1.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
jayanthpotluri5513/Deceptive-news-sequencing-using-LSTM
A project on Fake news detection using ML and DL approaches
Language: Jupyter Notebook - Size: 7.22 MB - Last synced at: 11 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
MUHAMMADAKMAL137/GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch
This repository implements a GPU-accelerated next-word prediction model using PyTorch and LSTM. It includes data preprocessing with NLTK, vocabulary creation, training on tokenized text, and generating text predictions, starting from a given input phrase.
Language: Jupyter Notebook - Size: 332 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0
HaseemArshad/Stock-Market-Prediction-Model
Stock Market Prediction Model
Language: Jupyter Notebook - Size: 27.3 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
peggia/music-generation
Ce projet implémente un générateur de musique basé sur un Variational Autoencoder (VAE)
Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Prakhar-FF13/Toxic-Comments-Classification
Predict the toxicity rating of comment made by the user.
Language: HTML - Size: 1.03 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 43 - Forks: 33
