lstm-neural-networks

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Alro10 /deep-learning-time-series

Star2.8k

List of papers, code and experiments using deep learning for time series forecasting

deep-neural-networks deep-learning time-series tensorflow prediction python3 pytorch recurrent-neural-networks lstm series-analysis forecasting-models lstm-neural-networks demand-forecasting series-forecasting sales-forecasting time-series-classification time-series-prediction time-series-forecasting series-classification forecasting-competitions

UpdatedMar 16, 2024
Jupyter Notebook

mravanelli /pytorch-kaldi

Star2.4k

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.

deep-neural-networks deep-learning speech dnn pytorch recurrent-neural-networks lstm gru speech-recognition rnn kaldi rnn-model asr lstm-neural-networks multilayer-perceptron-network timit dnn-hmm

UpdatedMar 14, 2022
Python

scorpionhiccup /StockPricePrediction

Star1.5k

Stock Price Prediction using Machine Learning Techniques

machine-learning video analysis lstm supervised-learning forecasting rnn lstm-neural-networks stock-price-forecasting concept-video

UpdatedAug 8, 2023
Jupyter Notebook

skforecast /skforecast

Star1.4k

Time series forecasting with machine learning models

python data-science machine-learning time-series scikit-learn xgboost forecasting lightgbm arima lstm-neural-networks sarimax probabilistic-forecasting direct-forecasting exogenous-predictors multi-series-forecasting multi-step-forecasting backtesting-forecasters quantile-forecasting multiple-time-series-forecasting autoregressive-forecasting

UpdatedDec 17, 2025
Python

omerbsezer /LSTM_RNN_Tutorials_with_Demo

Star843

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

lstm-neural-networks price-prediction reccurent-neural-network

UpdatedNov 22, 2024
Python

VivekPa /IntroNeuralNetworks

Star768

Introducing neural networks to predict stock prices

python finance data-science machine-learning tutorial neural-network trading guide prediction stock-price-prediction trading-strategies quantitative-finance stock-prices algorithmic-trading regression-models yahoo-finance lstm-neural-networks keras-tensorflow mlp-networks prediction-mod

UpdatedAug 3, 2019
Python

umbertogriffo /Predictive-Maintenance-using-LSTM

Star706

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

deep-neural-networks timeseries deep-learning keras lstm deep-learning-algorithms keras-models keras-neural-networks lstm-neural-networks prediction-model keras-tensorflow predictive-maintenance

UpdatedFeb 12, 2024
Python

JordiCorbilla /stock-prediction-deep-neural-learning

Sponsor

Star646

Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

finance machine-learning deep-neural-networks crypto deep-learning time-series jupyter-notebook stock recurrent-neural-networks cryptocurrency lstm lstm-model market-data stock-prices lstm-neural-networks stock-prediction yfinance

UpdatedApr 18, 2025
Jupyter Notebook

NourozR /Stock-Price-Prediction-LSTM

Star613

OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network

machine-learning deep-learning recurrent-neural-networks neural-networks algorithmic-trading lstm-neural-networks machine-learning-for-trading machine-learning-for-finance

UpdatedMar 30, 2023
Python

SenticNet /personality-detection

Star507

Implementation of a hierarchical CNN based model to detect Big Five personality traits

machine-learning theano sentiment-analysis cnn lstm personality-insights convolutional-neural-networks opinion-mining cnn-keras lstm-neural-networks personality-profiling personality-traits

UpdatedJan 26, 2020
Python

chihyaoma /Activity-Recognition-with-CNN-and-RNN

Star445

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

activity-recognition torch convolutional-neural-networks video-understanding lstm-neural-networks

UpdatedJun 27, 2020
Lua

Zhenye-Na /DA-RNN

Star425

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

deep-learning recurrent-neural-networks attention-mechanism lstm-neural-networks paper-implementations rnn-pytorch

UpdatedNov 22, 2020
Jupyter Notebook

vsuthichai /paraphraser

Star408

Sentence paraphrase generation at the sentence level

deep-learning tensorflow lstm sentence-generator lstm-neural-networks bidirectional-lstm paraphrase paraphrases insight-data-science paraphrase-generation insight-ai insight-artificial-intelligence paraphraser

UpdatedDec 7, 2022
Python

smousavi05 /EQTransformer

Star385

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

deep-learning neural-network detection earthquakes transformer global attention-mechanism lstm-neural-networks multi-task-learning phase-picking stead

UpdatedOct 29, 2025
Python

scopeInfinity /Video2Description

Star360

Video to Text: Natural language description generator for some given video. [Video Captioning]

deep-neural-networks video-processing image-captioning cnn-keras audio-processing lstm-neural-networks video-captioning video-to-text

UpdatedMay 3, 2022
Python

Netanelshoshan /freqAI-LSTM

Star299

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

regression-models lstm-neural-networks

UpdatedApr 7, 2025
Python

chibui191 /bitcoin_volatility_forecasting

Star296

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

finance bitcoin trading sklearn cryptocurrency stock-market lstm-neural-networks keras-tensorflow multivariate-timeseries volatility-modeling garch-models

UpdatedSep 10, 2021
Jupyter Notebook

30lm32 /ml-projects

Star289

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python