lstm

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

deep-learning transformers pytorch transformer lstm rnn gpt language-model attention-mechanism gpt-2 gpt-3 linear-attention rwkv chatgpt

UpdatedFeb 12, 2026
Python

huseinzol05 /Stock-Prediction-Models

Star9.2k

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

deep-learning monte-carlo trading-bot lstm stock-market stock-price-prediction seq2seq learning-agents stock-price-forecasting evolution-strategies lstm-sequence stock-prediction-models deep-learning-stock strategy-agent monte-carlo-markov-chain

UpdatedApr 16, 2023
Jupyter Notebook

ml5js /ml5-library

Star6.6k

Friendly machine learning for the web! 🤖

javascript machine-learning deep-learning neural-network lstm imagenet p5js p5xjs

UpdatedOct 11, 2024
JavaScript

bentrevett /pytorch-seq2seq

Star5.7k

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

tutorial pytorch transformer lstm gru rnn seq2seq attention neural-machine-translation sequence-to-sequence encoder-decoder pytorch-tutorial pytorch-tutorials encoder-decoder-model pytorch-implmention pytorch-nlp torchtext pytorch-implementation pytorch-seq2seq cnn-seq2seq

UpdatedJan 20, 2024
Jupyter Notebook

bentrevett /pytorch-sentiment-analysis

Star4.6k

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

nlp natural-language-processing tutorial sentiment-analysis word-embeddings transformers cnn pytorch recurrent-neural-networks lstm rnn fasttext bert sentiment-classification pytorch-tutorial pytorch-tutorials cnn-text-classification lstm-sentiment-analysis pytorch-nlp torchtext

UpdatedMar 27, 2024
Jupyter Notebook

UB-Mannheim /tesseract

Star4.1k

Tesseract Open Source OCR Engine (main repository)

ocr lstm tesseract-ocr ocr-d windows-build ocr-d-mp

UpdatedFeb 20, 2026
C++

lucasjinreal /tensorflow_poems

Star3.6k

中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

tensorflow poetry lstm rnn

UpdatedApr 7, 2024
Python

yangwohenmai /LSTM

Star3.6k

基于LSTM的时间序列预测研究

forecast lstm

UpdatedDec 14, 2022
Python

guillaume-chevalier /LSTM-Human-Activity-Recognition

Sponsor

Star3.6k

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

machine-learning deep-learning neural-network tensorflow activity-recognition recurrent-neural-networks lstm rnn human-activity-recognition

UpdatedNov 6, 2022
Jupyter Notebook

jisungk /deepjazz

Star2.9k

Deep learning driven jazz generation using Keras & Theano!

music machine-learning theano deep-learning keras lstm neural-networks rnn jazz

UpdatedMay 14, 2025
Python

zzw922cn /Automatic_Speech_Recognition

Star2.8k

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

audio deep-learning tensorflow paper end-to-end evaluation cnn lstm speech-recognition rnn automatic-speech-recognition feature-vector data-preprocessing phonemes timit-dataset layer-normalization rnn-encoder-decoder chinese-speech-recognition

UpdatedMar 24, 2023
Python

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

curiousily /Getting-Things-Done-with-Pytorch

Sponsor

Star2.5k

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection

UpdatedJun 30, 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