Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Mnist ClassificationPytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Indrnn Pytorchpytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
CodesearchnetDatasets, tools, and benchmarks for representation learning of code.
CaptcharecognitionEnd-to-end variable length Captcha recognition using CNN+RNN+Attention/CTC (pytorch implementation). 端到端的不定长验证码识别
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
ArnetCVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
EasyesnPython library for Reservoir Computing using Echo State Networks
Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Rnn Handwriting GenerationHandwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
SleepeegnetSleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Dreamrnn based model for recommendations
Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
Codegan[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
Patterspeech-to-text in pytorch
Hred Attention TensorflowAn extension on the Hierachical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion, our implementation is in Tensorflow and uses an attention mechanism.
Collaborative RnnA TensorFlow implementation of the collaborative RNN (Ko et al, 2016).
Nlp overviewOverview of Modern Deep Learning Techniques Applied to Natural Language Processing
Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Rnn Nmt基于双向RNN,Attention机制的编解码神经机器翻译模型
Deep SpeelingDeep Learning neural network for correcting spelling
Attentive Neural Processesimplementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
Rnn Theano使用Theano实现的一些RNN代码,包括最基本的RNN,LSTM,以及部分Attention模型,如论文MLSTM等
Theano Kaldi RnnTHEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.
Lstm peptidesLong short-term memory recurrent neural networks for learning peptide and protein sequences to later design new, similar examples.
AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Eda nlpData augmentation for NLP, presented at EMNLP 2019