Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
Stars: ✭ 202 (+260.71%)
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 (+3644.64%)
Text predictorChar-level RNN LSTM text generator📄.
Stars: ✭ 99 (+76.79%)
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 (+46.43%)
Lstms.pthPyTorch implementations of LSTM Variants (Dropout + Layer Norm)
Stars: ✭ 111 (+98.21%)
Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
Stars: ✭ 141 (+151.79%)
novel writerTrain LSTM to writer novel (HongLouMeng here) in Pytorch.
Stars: ✭ 14 (-75%)
See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Repo 2016R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
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RnnvisA visualization tool for understanding and debugging RNNs
Stars: ✭ 162 (+189.29%)
Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
Stars: ✭ 160 (+185.71%)
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 (+214.29%)
StylenetA cute multi-layer LSTM that can perform like a human 🎶
Stars: ✭ 187 (+233.93%)
sequence-rnn-pySequence analyzing using Recurrent Neural Networks (RNN) based on Keras
Stars: ✭ 28 (-50%)
KprnReasoning Over Knowledge Graph Paths for Recommendation
Stars: ✭ 220 (+292.86%)
Rnn ctcRecurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.
Stars: ✭ 220 (+292.86%)
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 (+0%)
Deep GenerationI used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
Stars: ✭ 101 (+80.36%)
LightnetEfficient, transparent deep learning in hundreds of lines of code.
Stars: ✭ 243 (+333.93%)
NlstmNested LSTM Cell
Stars: ✭ 246 (+339.29%)
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 (+346.43%)
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 (+121.43%)
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 (+112.5%)
Deep-Learning-CourseraProjects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
Stars: ✭ 123 (+119.64%)
Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
Stars: ✭ 96 (+71.43%)
Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
Stars: ✭ 146 (+160.71%)
Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Stars: ✭ 165 (+194.64%)
Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
Stars: ✭ 1,297 (+2216.07%)
Lstm Siamese Text Similarity⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity
Stars: ✭ 216 (+285.71%)
HasteHaste: a fast, simple, and open RNN library
Stars: ✭ 214 (+282.14%)
Caption generatorA modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
Stars: ✭ 243 (+333.93%)
Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
Stars: ✭ 3,209 (+5630.36%)
Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Stars: ✭ 3,418 (+6003.57%)
lstm harLSTM based human activity recognition using smart phone sensor dataset
Stars: ✭ 20 (-64.29%)
ArrayLSTMGPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..
Stars: ✭ 21 (-62.5%)
dltfHands-on in-person workshop for Deep Learning with TensorFlow
Stars: ✭ 14 (-75%)
tf-ran-cellRecurrent Additive Networks for Tensorflow
Stars: ✭ 16 (-71.43%)
air writingOnline Hand Writing Recognition using BLSTM
Stars: ✭ 26 (-53.57%)
Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Stars: ✭ 87 (+55.36%)
lstm-numpyVanilla LSTM with numpy
Stars: ✭ 17 (-69.64%)
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 (+242.86%)
DeepjazzDeep learning driven jazz generation using Keras & Theano!
Stars: ✭ 2,766 (+4839.29%)