air writingOnline Hand Writing Recognition using BLSTM
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Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
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NlstmNested LSTM Cell
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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
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SpeakerDiarization RNN CNN LSTMSpeaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).
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Char rnn lm zhlanguage model in Chinese,基于Pytorch官方文档实现
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
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AilearningAiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
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Time AttentionImplementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Rnn For Joint NluPytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Pytorch Kaldipytorch-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.
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Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
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KprnReasoning Over Knowledge Graph Paths for Recommendation
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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DeepjazzDeep learning driven jazz generation using Keras & Theano!
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dltfHands-on in-person workshop for Deep Learning with TensorFlow
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Har Stacked Residual Bidir LstmsUsing 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.
Stars: ✭ 250 (+212.5%)
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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question-pairA siamese LSTM to detect sentence/question pairs.
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RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Boilerplate Dynet Rnn LmBoilerplate code for quickly getting set up to run language modeling experiments
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Tf Lstm Crf BatchTensorflow-LSTM-CRF tool for Named Entity Recognizer
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Attentive Neural Processesimplementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
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CascadeThis repo contains code to detect sarcasm from text in discussion forum using deep learning
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LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
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Gru Svm[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
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Lstm Context EmbeddingsAugmenting word embeddings with their surrounding context using bidirectional RNN
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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.
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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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Simple Chatbot KerasDesign and build a chatbot using data from the Cornell Movie Dialogues corpus, using Keras
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Sudllight deep neural network tools box(LSTM,GRU,RNN,CNN,Bi-LSTM,etc)
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Stock RnnPredict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
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AialphaUse unsupervised and supervised learning to predict stocks
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