Collections of Github Repository in Python for LSTM
An LSTM is a type of recurrent neural network that addresses the vanishing gradient problem in vanilla RNNs through additional cells, input and output gates. This RNN type introduced by Hochreiter and Schmidhuber (Papers with Code, 2020). I have tried to collect and curate some Python-based Github repository linked to the LSTM, and the results were listed here. Please enjoy it to support your research about LSTM using Python!
Last updated: July 05, 2020
Source : Github
No. | Year | Title | Github | |
---|---|---|---|---|
1 | 2019 | Chinese-Text-Classification-Pytorch - 中文文本分类,TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention,DPCNN,Transformer,基于pytorch,开箱即用。 | View | |
2 | 2019 | zh-NER-TF - A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow) | View | |
3 | 2019 | dnc - Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy | View | |
4 | 2018 | BERT-BiLSTM-CRF-NER - Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning | View | |
5 | 2018 | dancenet - DanceNet - Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras) | View | |
6 | 2018 | LatticeLSTM - Chinese NER using Lattice LSTM. Code for ACL 2018 paper. | View | |
7 | 2018 | NCRFpp - NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. | View | |
8 | 2018 | sequence_tagging - Named Entity Recognition (LSTM + CRF) - Tensorflow | View | |
9 | 2018 | SLTK - SLTK,序列化标注工具,实现BiLSTM-CRF模型,并利用pytorch实现了高效的数据加载模块。 | View | |
10 | 2018 | nlstm - Nested LSTM Cell | View | |
11 | 2018 | a3c_continuous - A continuous action space version of A3C LSTM in pytorch | View | |
12 | 2017 | LM-LSTM-CRF - Efficient and Effective: Empower Sequence Labeling with Task-Aware Language Model | View | |
13 | 2017 | anago - Bidirectional LSTM-CRF for Sequence Labeling. Easy-to-use and state-of-the-art performance. | View | |
14 | 2017 | rl_a3c_pytorch - Reinforcement learning with implementation of A3C LSTM for Atari 2600 | View | |
15 | 2017 | Fast-Slow-LSTM - | View | |
16 | 2017 | treelstm.pytorch - Tree LSTM implementation in PyTorch | View | |
17 | 2017 | TensorFlow-NRE - Neural Relation Extraction implemented with LSTM in TensorFlow | View | |
18 | 2017 | NeuralNetwork-ImageQA - This is a python and keras implementation of the VIS+LSTM visua | View | |
19 | 2016 | LSTM-Neural-Network-for-Time-Series-Prediction - LSTM built using | View | |
20 | 2016 | PLSTM - | View | |
21 | 2016 | tensorflow-convlstm-cell - A ConvLSTM cell for TensorFlow’s RNN API. | View | |
22 | 2016 | encore.ai - Generate new lyrics in the style of any artist using LSTMs and TensorFlow | View | |
23 | 2016 | Associative_LSTM - LSTM with associative memory cells ( | View | |
24 | 2016 | lstm-char-cnn-tensorflow - LSTM language model with CNN over characters in TensorFlow | View | |
25 | 2015 | sketch-rnn - Multilayer LSTM and Mixture Density Network for modelling path-level SVG Vector Graphics d | View | |
26 | 2015 | write-rnn-tensorflow - Generative Handwriting using LSTM Mixture Density Network with TensorFlow | View | |
27 | 2015 | char-rnn-tensorflow - Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-lev | View | |
28 | 2015 | pycaffe-recurrent - IPython notebook for training multilayer LSTM and RNN networks with pycaffe | View |