GitHub topics: lstm-neural-networks
muhammadhussain-2009/Stock-Price-Prediction-Using-Stacked-LSTM
Predicting Google Stock Prices using Deep Learning Techniques.
Language: Jupyter Notebook - Size: 680 KB - Last synced at: about 2 hours ago - Pushed at: about 4 hours 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. π With powerful features and efficient algorithms, it empowers users to make informed trading decisions. π±π»
Language: Python - Size: 9.77 KB - Last synced at: about 11 hours ago - Pushed at: about 11 hours ago - Stars: 1 - 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: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0
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: 84.8 MB - Last synced at: about 17 hours ago - Pushed at: about 19 hours ago - Stars: 1 - Forks: 0
madhur02/nlp-techniques-explorer
A comprehensive repository exploring various Natural Language Processing (NLP) approaches and techniques, from traditional methods to modern deep learning implementations.
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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: about 20 hours ago - Pushed at: about 22 hours ago - Stars: 0 - Forks: 0
jonas-tfo/sp-prediction-models
This project focuses on the classification of amino acid sequences and/or the contained individual amino acids into various different categories related to signal peptide types and residue locations using various machine learning models.
Language: Jupyter Notebook - Size: 10.9 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0
Az-r-ow/TravelNER Fork of lucas066001/TravelOrderResolver
Travel Named Entity Recognition using probabilistic model vs Deep Learning and Transformers
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skforecast/skforecast
Time series forecasting with machine learning models
Language: Jupyter Notebook - Size: 551 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1,342 - Forks: 163
NoUniqueName/LSTM-based-Stock-market-Prediction
Forecast stock prices effortlessly with our LSTM-based app. Analyze trends and visualize predictions using Python and Streamlit. ππ»
Language: Python - Size: 7.81 KB - Last synced at: 2 days ago - Pushed at: 2 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.
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fadeldnswr/iot-network-digital-twin
Digital Twin representation of Internet of Things Network Traffic data simulated using Simpy. Implemented RNN model to forecast future values for the data
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inferno73/CyberThreatIntelligence-with-BERT-LSTM-and-RandomForest Fork of lilhast1/viproject
Implementation of CTI (Cyber Threat Detection), binary classificator (benign vs threat message), based on detecting attack patterns using machine learning, focus on LSTM models, Random forest and BERT.
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XAheli/Predicting-Indian-Stocks-Price-with-Stacked-LSTM
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 1 day ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 5
MuhamadAzharrudin/BLEU-metrix-evaluation
This repository contains Python scripts to calculate BLEU (Bilingual Evaluation Understudy) scores to assess the quality of automatic translation systems. BLEU scores are a popular metric for measuring how close a model's output is to a reference translation.
Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 5 days ago - Pushed at: 5 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: Python - Size: 74.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0
mrlhasang20/NepseScore-Platform
NepseScore Platform is an AI-powered analytics and prediction system for ranking and forecasting Nepal Stock Exchange (NEPSE) companies.
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GargiGhosh03/ANN-CNN-SNN-LSTM
Implementation of CNN, ANN, LSTM and SNN on the EEG Brainwave dataset
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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: 853 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0
Alecraft34/Earthquake-Explorer
Earthquake Explorer is a web app that helps you track earthquake events worldwide using a free API. π It displays real-time data like magnitude and location on an interactive map. πΊοΈ
Language: HTML - Size: 22.5 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0
WHitE-TITaN/Machine-Learning
This natural language processor leverages self-attention mechanisms to capture long-range dependencies in text, ensuring that the model can focus on critical words across sentences.
Language: C++ - Size: 10.7 KB - Last synced at: 7 days ago - Pushed at: 7 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: 8 days ago - Pushed at: 8 days ago - Stars: 7 - Forks: 1
tfHasi/Ceylon-Sliders
Ongoing final year project for AI Driven Surf Forecasting using hybrid cnn-lstm architecture
Language: Jupyter Notebook - Size: 3.29 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
pizzaxpainter/Driver-Fatigue-Detection
Driver Fatigue Detection Model Development with Active Alert Mechanism
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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 protestsβalerting authorities instantly to prevent disasters and ensure citizen safety.
Language: Python - Size: 11.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
bestEff0rts/quantamental
ml, deep learning, statistical learning and (a bit of) econometrics
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
Saeed-dev2/Electricity-price-prediction
This project performs time series forecasting of electricity market prices (MCP_TL) using LSTM neural networks. It includes data preprocessing, feature engineering, and visual analysis of historical pricing trends. The model predicts future prices based on temporal patterns and lagged features.
Language: Jupyter Notebook - Size: 7 MB - Last synced at: 9 days ago - Pushed at: 9 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.
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d-kavinraja/MouthMap
Deep learning project aimed at converting lip movements into meaningful sentences.
Language: Jupyter Notebook - Size: 675 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 3 - Forks: 3
harmeshgv/LSTM-NextWordPredictor
An LSTM-based next-word prediction model leveraging tokenized text sequences and an embedding layer. The model employs stacked LSTM layers with dense softmax classification for vocabulary prediction. Includes data preprocessing, model training, and an interactive CLI for real-time inference.
Language: Python - Size: 175 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0
mtiessler/EmoTracker
Predict how word emotions change over time using neuronal networks. Model temporal emotional trajectories for English words with accuracy and interactive visualizations.
Language: Python - Size: 22.6 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 1
ShrutikSai/Bitcoin-Price-Prediction-using-LSTM
LSTM-based deep learning model for forecasting Bitcoin prices with 97% accuracy using historical data and time-series techniques.
Language: Jupyter Notebook - Size: 362 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0
Ahmadjamil888/CRYPTO-AI-TRADING-BOT-LSTM
A crypto AI trading bot using LSTM.
Language: Python - Size: 22.8 MB - Last synced at: 12 days ago - Pushed at: 12 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: 6.37 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 219 - Forks: 20
jonas-tfo/signal-peptide-prediction-models
This project focuses on the classification of amino acid sequences and/or the contained individual amino acids into various different categories related to signal peptide types and residue locations using various machine learning models.
Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0
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: 7.85 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 2 - Forks: 0
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: 15 days ago - Pushed at: 15 days ago - Stars: 10 - Forks: 2
adityarohatgi11/Master-Thesis-Project
Master's thesis I completed at Cal Poly analyzing the impact of carbon price shocks on different types of investment funds. Used machine learning and econometric methods to show how traditional energy ETFs react much stronger than clean energy ones. This project combines my interests in climate policy, finance, and AI/ML.
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guilhermegranchopro/Prometheus
Quantitative Finance Research
Language: HTML - Size: 450 MB - Last synced at: 10 days ago - Pushed at: 20 days ago - Stars: 6 - 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: 13 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 1
macielmk7/IMDB-Movie-Analysis
Analyze IMDB movie data with Python and pandas. Discover trends in ratings and genre popularity over time. ππ Explore insights with ease.
Language: Jupyter Notebook - Size: 1.87 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - 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: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0
chrisprasanna/Exercise_Recognition_AI
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
Language: Jupyter Notebook - Size: 154 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 112 - Forks: 18
vladzima/neuronaming-dev
Open-source: AI powered business names generator. Proof of concept.
Language: JavaScript - Size: 1.24 MB - Last synced at: 8 days ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
KittenCN/predict_Lottery_ticket_pytorch
pytorchδΈεΊδΊtransformer / LSTM樑εη彩η₯¨ι’ζ΅
Language: Python - Size: 171 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 99 - Forks: 37
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.
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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: Jupyter Notebook - Size: 9.33 MB - Last synced at: 17 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
axelvyrn/TiresiasIQ
Tensorflow Human Behavior Prediction Engine
Language: Python - Size: 1.84 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0
TatarchI/DataScience_Portfolio_IvanTatarchuk
Data Science portfolio
Language: HTML - Size: 36.8 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0
VishvasRanjan/Time-Series-Forecasting-LSTM-GARCH
Timeβseries forecasting: LSTM vs. ARMAβGARCH on stock price & volatility data.
Size: 2.93 MB - Last synced at: 26 days ago - Pushed at: 26 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: 29 days ago - Pushed at: 29 days ago - Stars: 0 - 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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: 28 days ago - Pushed at: 2 months 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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
tensorlayer/awesome-tensorlayer
A curated list of dedicated resources and applications
Size: 94.7 KB - Last synced at: 6 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: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
gaurav-bhardwaj29/sentzr
how collective sentiment moves the market
Language: Jupyter Notebook - Size: 7 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
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: about 1 month ago - Pushed at: about 1 month 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: 24 days ago - Pushed at: over 4 years ago - Stars: 76 - Forks: 23
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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: 25 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
sayemuzzamansiam/Bangla-Text-Classification
A comprehensive exploration of various machine learning and deep learning techniques for Bangla news text classification.
Language: Jupyter Notebook - Size: 8.1 MB - Last synced at: 10 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 year 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: about 1 month ago - Pushed at: about 1 month 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: about 2 months ago - Pushed at: 8 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
rlhinrichs/neural-networks
π Time-Series Forecasting for Wearable Device Sensors
Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: about 2 months 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: 72 MB - Last synced at: 1 day ago - Pushed at: 1 day 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Piraytekinz/DeepLearning-projects
This is a list of Deep Learning models I built to enhance my skills as a machine learning engineer.
Language: Jupyter Notebook - Size: 7.01 MB - Last synced at: 9 days ago - Pushed at: 4 months ago - Stars: 3 - 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1
kowyo/LSTMNetworks
Time Series Forecasting Using MATLAB and LSTM
Language: MATLAB - Size: 3.3 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
ktzsh/object-tracking
Multiple Object Tracking System in Keras + (Detection Network - YOLO)
Language: Python - Size: 81.1 KB - Last synced at: 9 days ago - Pushed at: about 7 years ago - Stars: 97 - Forks: 36
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: 16 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
matakshay/AI_Music_Generator
Deep Learning & Natural Language Processing model to generate Piano music using LSTM Neural Networks
Language: Jupyter Notebook - Size: 96.3 MB - Last synced at: 13 days ago - Pushed at: almost 5 years ago - Stars: 34 - Forks: 8
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 RΒ² score of 0.80, while the LSTM model reached ~76% validation accuracy.
Language: Jupyter Notebook - Size: 3.58 MB - Last synced at: about 2 months ago - Pushed at: about 2 months 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: about 1 month 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: about 2 months 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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: about 2 months 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: about 2 months ago - Pushed at: 3 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: about 2 months 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 2 months ago - Pushed at: about 2 months 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 2 months ago - Pushed at: about 2 months 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: about 1 month ago - Pushed at: almost 8 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: about 2 months 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
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Zhenye-Na/DA-RNN
π ππππππππππ PyTorch Implementation of DA-RNN (arXiv:1704.02971)
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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.
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ClaireJ2100/icbc-stock-financial-analysis
Analysis and forecasting of ICBC A-share stock price (2020-2024) using Python, LSTM, and financial risk metrics.
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EpicElectrons/ZEROHACK-CODE
ZeroHack
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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.
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mrosol/Nonlincausality
Python package for Granger causality test with nonlinear forecasting methods.
Language: Python - Size: 213 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 15
