Top 233 recurrent-neural-networks open source projects

A curated list of dedicated resources and applications

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

Deep-Learning Model Exploration and Development for NLP

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

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

TensorFlow Tutorials

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Code for Stanford CS224D: deep learning for natural language understanding

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Tensorflow implementation of the HarvardNLP paper - What You Get Is What You See: A Visual Markup Decompiler (https://arxiv.org/pdf/1609.04938v1.pdf)

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Deep learning codes and projects using Python

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

keras project that parses and analyze english resumes

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

HDLTex: Hierarchical Deep Learning for Text Classification

Anomaly detection for temporal data using LSTMs

Spying using Smartwatch and Deep Learning

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.

News summarization using sequence to sequence model with attention in TensorFlow.

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

SRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Keras implementation of Legendre Memory Units

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

How to build RNNs and LSTMs from scratch with NumPy.

Layer-wise Relevance Propagation (LRP) for LSTMs

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

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

The first public PyTorch implementation of Attentive Recurrent Comparators

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Learning the Enigma with Recurrent Neural Networks

A bidirectional LSTM with attention for multiclass/multilabel text classification.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

ECG classification programs based on ML/DL methods

Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

A Neural Networking library based on NumPy only

Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification

Top 200 deep learning Github repositories sorted by the number of stars.

The code for the MaD TwinNet. Demo page:

Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.

An Echo State Network module for PyTorch.

PyTorch tutorial for learners

Handwriting Synthesis with RNNs ✏️

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Python library for Reservoir Computing using Echo State Networks

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

R interface to the keras library

videos, lectures, blogs for Deep Learning