Top 450 lstm open source projects

Deep learning driven jazz generation using Keras & Theano!
Har Stacked Residual Bidir Lstms
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.
Nested LSTM Cell
Tensorflow novelist
Efficient, transparent deep learning in hundreds of lines of code.
Caption generator
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).
Ntm One Shot Tf
One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow
Qa match
A simple effective ToolKit for short text matching
Crnn Audio Classification
UrbanSound classification using Convolutional Recurrent Networks in PyTorch
Rnn ctc
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
Video Classification Cnn And Lstm
To classify video into various classes using keras library with tensorflow as back-end.
Lstm Siamese Text Similarity
⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Siamese Lstm
Siamese LSTM for evaluating semantic similarity between sentences of the Quora Question Pairs Dataset.
Sign Language Gesture Recognition
Sign Language Gesture Recognition From Video Sequences Using RNN And CNN
Tts Cube
End-2-end speech synthesis with recurrent neural networks
Graph convolutional lstm
Traffic Graph Convolutional Recurrent Neural Network
Icdar 2019 Sroie
ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG
Up Down Captioner
Automatic image captioning model based on Caffe, using features from bottom-up attention.
Char Rnn Chinese
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of Support Chinese and other things.
A cute multi-layer LSTM that can perform like a human 🎶
Lidc nodule detection
lidc nodule detection with CNN and LSTM network
Datastories Semeval2017 Task4
Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
Deep Time Series Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
Charades Algorithms
Activity Recognition Algorithms for the Charades Dataset
Speech Emotion Recognition
Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别
Rnn For Joint Nlu
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (
Deep Algotrading
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 Is All You Need
🔥🌟《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!
Lstm attention
attention-based LSTM/Dense implemented by Keras
Kaggle Competition Favorita
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Eeg Dl
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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.
Deep News Summarization
News summarization using sequence to sequence model with attention in TensorFlow.
Relation Classification Using Bidirectional Lstm Tree
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
Lstm Music Genre Classification
Music genre classification with LSTM Recurrent Neural Nets in Keras & PyTorch
Accel Brain Code
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 forecasting
Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Keras Lmu
Keras implementation of Legendre Memory Units
Amazon Product Recommender System
Sentiment analysis on Amazon Review Dataset available at
Tensorflow On Android For Human Activity Recognition With Lstms
iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android
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