ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+676.92%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+746.15%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-38.46%)
StylenetA cute multi-layer LSTM that can perform like a human 🎶
Stars: ✭ 187 (+619.23%)
Char Rnn ChineseMulti-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.
Stars: ✭ 192 (+638.46%)
DeepjazzDeep learning driven jazz generation using Keras & Theano!
Stars: ✭ 2,766 (+10538.46%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-46.15%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (+7.69%)
Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stars: ✭ 119 (+357.69%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+534.62%)
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)
Stars: ✭ 176 (+576.92%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+723.08%)
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Stars: ✭ 160 (+515.38%)
NlstmNested LSTM Cell
Stars: ✭ 246 (+846.15%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+13046.15%)
theano-recurrenceRecurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
Stars: ✭ 40 (+53.85%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-46.15%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (+0%)
Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Stars: ✭ 111 (+326.92%)
Chinese Chatbot中文聊天机器人,基于10万组对白训练而成,采用注意力机制,对一般问题都会生成一个有意义的答复。已上传模型,可直接运行,跑不起来直播吃键盘。
Stars: ✭ 124 (+376.92%)
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Stars: ✭ 102 (+292.31%)
Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Stars: ✭ 146 (+461.54%)
deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
Stars: ✭ 53 (+103.85%)
Text predictorChar-level RNN LSTM text generator📄.
Stars: ✭ 99 (+280.77%)
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.
Stars: ✭ 2,097 (+7965.38%)
RnnvisA visualization tool for understanding and debugging RNNs
Stars: ✭ 162 (+523.08%)
Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
Stars: ✭ 21 (-19.23%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+676.92%)
KprnReasoning Over Knowledge Graph Paths for Recommendation
Stars: ✭ 220 (+746.15%)
LightnetEfficient, transparent deep learning in hundreds of lines of code.
Stars: ✭ 243 (+834.62%)
Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+834.62%)
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 (+861.54%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+12242.31%)
myDLDeep Learning
Stars: ✭ 18 (-30.77%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-23.08%)
DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Stars: ✭ 82 (+215.38%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (-19.23%)
EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
Stars: ✭ 24 (-7.69%)
Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Stars: ✭ 1,297 (+4888.46%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+269.23%)
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).
Stars: ✭ 56 (+115.38%)
question-pairA siamese LSTM to detect sentence/question pairs.
Stars: ✭ 25 (-3.85%)