Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+450%)
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 (+5142.5%)
myDLDeep Learning
Stars: ✭ 18 (-55%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+435%)
Theano lstm🔬 Nano size Theano LSTM module
Stars: ✭ 310 (+675%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+8445%)
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Stars: ✭ 160 (+300%)
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
Stars: ✭ 102 (+155%)
DeepjazzDeep learning driven jazz generation using Keras & Theano!
Stars: ✭ 2,766 (+6815%)
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.
Stars: ✭ 31 (-22.5%)
ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
Stars: ✭ 202 (+405%)
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
Stars: ✭ 31 (-22.5%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-60%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-30%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+312.5%)
Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
Stars: ✭ 24 (-40%)
Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Stars: ✭ 48 (+20%)
RnnvisA visualization tool for understanding and debugging RNNs
Stars: ✭ 162 (+305%)
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 (+380%)
Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Stars: ✭ 146 (+265%)
Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+405%)
DeepLearning-LabCode lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.
Stars: ✭ 83 (+107.5%)
LearningMetersPoemsOfficial repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700
Stars: ✭ 18 (-55%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+7922.5%)
Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+507.5%)
StylenetA cute multi-layer LSTM that can perform like a human 🎶
Stars: ✭ 187 (+367.5%)
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 (+340%)
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 (+40%)
LightnetEfficient, transparent deep learning in hundreds of lines of code.
Stars: ✭ 243 (+507.5%)
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 (+525%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-35%)
KprnReasoning Over Knowledge Graph Paths for Recommendation
Stars: ✭ 220 (+450%)
NlstmNested LSTM Cell
Stars: ✭ 246 (+515%)
Nmt KerasNeural Machine Translation with Keras
Stars: ✭ 501 (+1152.5%)
Personality DetectionImplementation of a hierarchical CNN based model to detect Big Five personality traits
Stars: ✭ 338 (+745%)
AiopenAIOpen是一个按人工智能三要素(数据、算法、算力)进行AI开源项目分类的汇集项目,项目致力于跟踪目前人工智能(AI)的深度学习(DL)开源项目,并尽可能地罗列目前的开源项目,同时加入了一些曾经研究过的代码。通过这些开源项目,使初次接触AI的人们对人工智能(深度学习)有更清晰和更全面的了解。
Stars: ✭ 62 (+55%)
rnn-theanoRNN(LSTM, GRU) in Theano with mini-batch training; character-level language models in Theano
Stars: ✭ 68 (+70%)
Deep srlCode and pre-trained model for: Deep Semantic Role Labeling: What Works and What's Next
Stars: ✭ 309 (+672.5%)
Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
Stars: ✭ 103 (+157.5%)
STAR Network[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained
Stars: ✭ 16 (-60%)
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 (+105%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-65%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-65%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-50%)
IndRNN pytorchIndependently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Stars: ✭ 112 (+180%)