Top 450 lstm open source projects

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

Deep learning driven jazz generation using Keras & Theano!

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

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

Nested LSTM Cell

模仿莎士比亚创作戏剧！屌炸天的是还能创作金庸武侠小说！快star，保持更新！！

Efficient, transparent deep learning in hundreds of lines of code.

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

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

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

A simple effective ToolKit for short text matching

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Natural Language Processing with TensorFlow, published by Packt

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

Reasoning Over Knowledge Graph Paths for Recommendation

To classify video into various classes using keras library with tensorflow as back-end.

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Haste: a fast, simple, and open RNN library

End-2-end speech synthesis with recurrent neural networks

Traffic Graph Convolutional Recurrent Neural Network

A neural network that transforms a design mock-up into a static website.

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

A cute multi-layer LSTM that can perform like a human 🎶

lidc nodule detection with CNN and LSTM network

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Activity Recognition Algorithms for the Charades Dataset

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

Anomaly detection for temporal data using LSTMs

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Attention-based multimodal fusion for sentiment analysis

attention-based LSTM/Dense implemented by Keras

5th place solution for Kaggle competition Favorita Grocery Sales Forecasting

Speaker independent emotion recognition

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

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.

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Activity Recognition from 2D pose using an LSTM RNN

Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

A visualization tool for understanding and debugging RNNs

Library of autoencoders for sequential data

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Keras implementation of Legendre Memory Units

Chinese Poetry Generation

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.