davidrsch/LSTM_UTS

A web app made with R for the implementation of vanilla LSTM networks for univariate time series forecasting.

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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.

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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.

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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.

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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: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

guilhermegranchopro/Prometheus

Quantitative Finance Research

Language: HTML - Size: 490 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

novandi18/exoplanet-habitability-prediction-rnn-knn

Exoplanet Habitability Prediction with Recurrent Neural Networks and K-Nearest Neighbors

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naitik2314/Energy-Anomality

Project developed using LSTM (Deep Learning) to predict energy load, hence, helping in grid optimization

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skforecast/skforecast

Time series forecasting with machine learning models

Language: Jupyter Notebook - Size: 539 MB - Last synced at: 2 days ago - Pushed at: 9 days ago - Stars: 1,306 - Forks: 155

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

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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: 4.45 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 184 - Forks: 17

GGasset/CudaNeatNetwork

Easy to use, Neural Network framework made from scratch in CUDA/C++, also featuring LSTMs, able to train using Supervised learning and Evolution methods

Language: Cuda - Size: 728 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - 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: 7.58 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - 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: 34.2 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 2 - 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: 4 days ago - Pushed at: about 1 year ago - Stars: 674 - Forks: 243

d-kavinraja/MouthMap

Deep learning project aimed at converting lip movements into meaningful sentences.

Language: Jupyter Notebook - Size: 675 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 3

DiFronzo/LSTM-for-Human-Activity-Recognition-classification

Deep convolutional and LSTM feature extraction approach with 784 features.

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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.

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MartinuzziFrancesco/LuxRecurrentLayers.jl

Novel recurrent layers for Lux.jl

Language: Julia - Size: 340 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 3 - Forks: 0

dimitris1pana/nlp_lab_unipi

Introduction to Natural Language Processing course taught during the Spring Semester at the Department Of Informatics - University of Piraeus,Greece

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smousavi05/EQTransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Language: Python - Size: 50.1 MB - Last synced at: 2 days ago - Pushed at: 12 months ago - Stars: 346 - Forks: 156

jayanthpotluri5513/Deceptive-news-sequencing-using-LSTM

A project on Fake news detection using ML and DL approaches

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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.

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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: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

AM-Ankitgit/Complete-Deep-Learning-Algorithms

deep-learning machine-learning

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HaseemArshad/Stock-Market-Prediction-Model

Stock Market Prediction Model

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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: 17.8 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

peggia/music-generation

Ce projet implémente un générateur de musique basé sur un Variational Autoencoder (VAE)

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Prakhar-FF13/Toxic-Comments-Classification

Predict the toxicity rating of comment made by the user.

Language: HTML - Size: 1.03 MB - Last synced at: 4 days ago - Pushed at: almost 6 years ago - Stars: 43 - Forks: 33

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: 621 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

shalini-venkatesan/Sign-Language-Communication-Using-LSTM

Language: Jupyter Notebook - Size: 334 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

mysticnova-dev/CryptoTimeSeriesAI

CryptoTimeSeriesAI is a tech demo for deep learning-based Bitcoin forecasting. Built for a University of Lucknow lecture (April 21, 2025), it features LSTM and Transformer models, blockchain feature engineering, and hyperparameter tuning with Ray Tune.

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Nirva-Patel/Time-Series-Forecasting

This project aims to forecast gold prices using time series techniques. It includes data preprocessing, model training, and evaluation of methods like ARIMA, SARIMA, LSTM, etc. to identify the best-performing model. The repository contains code, data workflows, and model comparisons.

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DrAdrianDC/Portfolio-for-Data-Science

This repository contains a collection of end-to-end machine learning and data science projects I have worked on

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Omar10lfc/LSTM_Human_Activity_Detection

This project focuses on Human Activity Recognition (HAR) using time-series sensor data collected from mobile devices. The goal is to build a deep learning model specifically an (LSTM-based neural network) that can accurately classify daily activities such based on accelerometer data.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

bhavikagarg/Hate-Speech-Offensive-Language

Addresses the critical issue of hate speech and offensive language proliferating on online platforms.

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luigiifan/Gojek-App-Sentiment

Gojek App Sentiment Analysis with Deep Learning Algorithm

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frankaging/Multimodal-Transformer

Attention Based Multi-modal Emotion Recognition; Stanford Emotional Narratives Dataset

Language: Python - Size: 458 MB - Last synced at: 12 days ago - Pushed at: over 5 years ago - Stars: 18 - Forks: 1

JakobTSchneider/encoder-decoder-finance-thesis

A research project for a Bachelor's thesis exploring encoder-decoder architectures for financial time series forecasting. Includes code, experiments, and evaluation results.

Language: Python - Size: 74.2 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

tfHasi/Ceylon-Sliders

Ongoing final year project for AI Driven Surf Forecasting using hybrid cnn-lstm architecture

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koinsrk/GestureX

GestureX is a real-time Indian Sign Language (ISL) translator that converts hand gestures into text and speech. It helps bridge the communication gap between the deaf community and the hearing world using computer vision and machine learning.

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arssite/Datalysis

Contains Deep Learning Content and Algorithm. ANN_CNN_RNN(LSTM-GRU)_AUTOENCODER

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gamzeakkurt/deep-learning-stock-prediction

This project uses machine learning models (Linear Regression and LSTM) to analyze and forecast stock market prices. It retrieves stock data from Yahoo Finance, performs exploratory data analysis (EDA), processes and engineers features, and predicts future prices. The project includes model evaluation metrics

Language: Python - Size: 6.02 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 5 - Forks: 2

dhyanid13/Helpify-LSTM-based-approach-for-classifying-mental-health-issues

Employing NLP techniques to classify Mental Health Issues into a particular categories

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TeerthaDeb/Bench_Press-LSTM-pose-correcting-model

A LSTM model to correct your pose when you are performing Bench Press exercise.

Language: Jupyter Notebook - Size: 51.5 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

dhyanid13/Intrusion-detection-using-RNN

Detecting attacks in Intrusion-detection-using-RNN

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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: 22 days ago - Pushed at: 23 days ago - Stars: 581 - Forks: 121

khrstln/AITH-Blockchain-AI

«Oracle»-инструмент, который поможет выбрать оптимальную gas price и временное окно для сделок в Ethereum сети.

Language: Jupyter Notebook - Size: 711 KB - Last synced at: 17 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

measterpojo/BitcoinForcast-PyTorch

Predicting Bitcoin price using forecasting

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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: 23 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

A-TomMarvoloRiddle/Fluxion

FLUXION is an AI-powered traffic management system that optimizes traffic flow using computer vision, reinforcement learning & reliability with RNN-based backup systems. Includes features like license plate recognition & region selection for better efficiency. FLUXION represents the future of intelligent urban transportation management.

Language: Python - Size: 25.2 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 0

jossieb/pred_stockprice

Training and prediction scripts for a stock price prediction using a LSTM neural network.

Language: Python - Size: 1.35 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

pratycodes/Fintrix

Fintrix is a scalable, machine learning–powered tool for portfolio optimization with distributed computing, forecasting, backtesting, and an interactive Streamlit dashboard.

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sergio11/spam_email_classifier_lstm

This project uses a Bi-directional LSTM model 📧🤖 to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier 💻📊 while addressing overfitting with strategies like early stopping 🚫.

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 6 - 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: 85.6 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

Aryan22163/Future_trend_Prediction

Bitcoin price forecasting using LSTM neural networks and time series data analysis.

Language: Jupyter Notebook - Size: 129 KB - Last synced at: 30 days ago - Pushed at: 30 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: about 1 month ago - Pushed at: 6 months ago - Stars: 772 - Forks: 304

chrisprasanna/Predicting_Seattle_Gas_Prices_with_ML

End-to-end development pipeline for predicting retail gas prices in Seattle using deep learning.

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 1

chaitanyarahalkar/Name-Generator-RNN

A name generator implemented using a recurrent neural network from scratch.

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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: 27 days ago - Pushed at: about 1 year ago - Stars: 2,683 - Forks: 530

JonathanP-code/Stock-Prediction-with-LSTM-using-yfinance

This repository contains machine learning models that predict future prices for stocks using LSTM neural networks. The models fetch historical price data from Yahoo Finance, preprocess the data, and also generate predictions with buy/sell recommendations.

Language: Python - Size: 64.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - 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: about 1 month ago - Pushed at: over 2 years ago - Stars: 94 - Forks: 15

Vlasenko2006/Storyteller

A neural network that trains on wikipedia content and tells stories by demand.

Language: Python - Size: 70.3 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Netanelshoshan/freqAI-LSTM

A Trading Model Utilizing a Dynamic Weighting and Aggregate Scoring System with LSTM Networks

Language: Python - Size: 59.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 204 - Forks: 71

gideonsuttle/stock-market-prediction

A deep learning application using CNN and LSTM models to predict stock market prices in real-time. Built with historical NSE data, this project combines time series analysis with neural networks for financial forecasting.

Language: Python - Size: 615 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

fferroni/PhasedLSTM-Keras

Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]

Language: Python - Size: 355 KB - Last synced at: 12 days ago - Pushed at: about 5 years ago - Stars: 144 - Forks: 51

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: 27 days ago - Pushed at: about 3 years ago - Stars: 2,384 - Forks: 445

CaptainE/RNN-LSTM-in-numpy

Building a RNN and LSTM from scratch with NumPy.

Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 42 - Forks: 5

Rimkomatic/Web-Service-Classification-using-CNN

Long Tailed Service Classification using CNN with 75.76% accuracy

Language: Python - Size: 4.85 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 2

abhinabasaha/TimeSeriesAnalysisTSA

Language: Jupyter Notebook - Size: 1.49 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

CyberScoper/ecowittweatherbot

☀️This bot helps you access your Ecowitt weather station data effortlessly through Telegram. It provides a user-friendly way to view temperature, humidity, wind speed, and more, using simple commands.

Language: Python - Size: 43 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 0

scorpionhiccup/StockPricePrediction

Stock Price Prediction using Machine Learning Techniques

Language: Jupyter Notebook - Size: 7.53 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1,420 - Forks: 435

Wapiti08/LogAnalyzer

Ensemble framework of some log based anomaly detection work.

Language: Roff - Size: 9.48 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 36 - Forks: 17

chibui191/bitcoin_volatility_forecasting

GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

Language: Jupyter Notebook - Size: 105 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 250 - Forks: 74

VivekPa/IntroNeuralNetworks

Introducing neural networks to predict stock prices

Language: Python - Size: 31.3 KB - Last synced at: about 1 month ago - Pushed at: almost 6 years ago - Stars: 756 - Forks: 206

Subhash-777/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: 3.47 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

anu-gtb/taylor_series

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

petrosDemetrakopoulos/LSTM-radar-precipitation-forecast

A model for short-term precipitation forecasting based on radar data

Language: Jupyter Notebook - Size: 7.85 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 61 - Forks: 11

dhrupad17/100-Days-of-Deep-Learning

Its the practice repository covering all the concepts @campusx-official has covered in his playlist in much detailed way.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 3

SiddharthJiyani/KrishiDhaara

Language: JavaScript - Size: 137 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1

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: 3.23 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

rlhinrichs/neural-networks

📊 Time-Series Forecasting for Wearable Device Sensors

Language: Jupyter Notebook - Size: 604 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ShagunSharma98/Global-Structural-Earthquake-Damage-Prediction

Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.

Language: Jupyter Notebook - Size: 708 KB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 15 - Forks: 2

AdirthaBorgohain/LSTM-Classifier-with-Hyperparameter-Tuning

A simple bidirectional LSTM Classifier to classify sentiments on a text. Hyperparameter tuning is done using Randomized CV Search to find best parameters for the deep learning model.

Language: Jupyter Notebook - Size: 9.98 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0

lucko515/speech-recognition-neural-network

This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.

Language: HTML - Size: 12.7 MB - Last synced at: 27 days ago - Pushed at: over 7 years ago - Stars: 190 - Forks: 85

krishnakartik1/LSTM-footballMatchWinner

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

Language: Jupyter Notebook - Size: 954 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 60 - Forks: 25

ot-code/Coca-Cola-Stock-Prediction

This repo compares four predictive models—Linear Regression, ARIMA, XGBoost, and LSTM—to forecast Coca‑Cola FEMSA stock closing prices using Python and five years of historical data.

Language: Python - Size: 57.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AndreRab/Covid-bot-using-LSTM

The Covid-bot is designed to answer common questions about coronavirus.

Language: Jupyter Notebook - Size: 161 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mrosol/Nonlincausality

Python package for Granger causality test with nonlinear forecasting methods.

Language: Python - Size: 213 KB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 78 - Forks: 15

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: about 1 month ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 6

saif-gitreps/Next-Word-Predictor

A LSTM neural network model that predicts the next word of a sentence.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

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: 11 days ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

federicohyo/lstm-ecg

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

Language: Jupyter Notebook - Size: 248 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 24 - Forks: 10

sueszli/autocomplete

lstm based language modelling (next-word prediction)

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

harshuljain13/OCR

Optical character recognition Using Deep Learning

Language: Jupyter Notebook - Size: 7.5 MB - Last synced at: about 1 month ago - Pushed at: almost 7 years ago - Stars: 30 - Forks: 7

ThecoderPinar/Earthquake_Prediction_Analysis_Project

🌍 Welcome to the Earthquake Prediction Analysis Project! 🚀 This project aims to predict earthquake magnitudes using LSTM neural networks and analyze seismic data. Explore, analyze, and forecast earthquakes with ease! 📈🔮

Language: MATLAB - Size: 1.32 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 4

Shreeshrii/tess5train-fonts

Files and Scripts to run Tesseract 5 LSTM Training using fonts

Language: HTML - Size: 82.8 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 80 - Forks: 21

gsurma/text_predictor

Char-level RNN LSTM text generator📄.

Language: Python - Size: 125 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 115 - Forks: 35

sudharsan13296/Bitcoin-price-Prediction-using-LSTM

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 21 days ago - Pushed at: over 5 years ago - Stars: 125 - Forks: 68

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: 22 days ago - Pushed at: over 7 years ago - Stars: 85 - Forks: 37