Bit RnnQuantize weights and activations in Recurrent Neural Networks.
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QrnnQuasi-recurrent Neural Networks for Keras
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BrainforgeA Neural Networking library based on NumPy only
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KerasrR interface to the keras library
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EmnistA project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.
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Keras TcnKeras Temporal Convolutional Network.
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Mad TwinnetThe code for the MaD TwinNet. Demo page:
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EasyesnPython library for Reservoir Computing using Echo State Networks
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Rcnn Relation ExtractionTensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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Malware ClassificationTowards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification
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Stock Price PredictorThis project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.
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Rnn From ScratchUse tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
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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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Brain.jsbrain.js is a GPU accelerated library for Neural Networks written in JavaScript.
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Rnn Text Classification TfTensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
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Lstm Ctc Ocrusing rnn (lstm or gru) and ctc to convert line image into text, based on torch7 and warp-ctc
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Crypto RnnLearning the Enigma with Recurrent Neural Networks
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DogtorchWho Let The Dogs Out? Modeling Dog Behavior From Visual Data https://arxiv.org/pdf/1803.10827.pdf
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Pytorch EsnAn Echo State Network module for PyTorch.
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Predrnn PytorchOfficial implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
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Multitask sentiment analysisMultitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587
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TfvosSemi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
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Deep LyricsLyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network
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Keras LmuKeras implementation of Legendre Memory Units
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TnnBiologically-realistic recurrent convolutional neural networks
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DeepecgECG classification programs based on ML/DL methods
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SimplednnSimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks
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Speech Recognition Neural NetworkThis is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
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Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
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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)
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Keras SruImplementation of Simple Recurrent Unit in Keras
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Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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Codegan[Deprecated] Source Code Generation using Sequence Generative Adversarial Networks
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Skiprnn 2017 TelecombcnSkip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)
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Rnn TrajmodelThe source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
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Deep PlantDeep-Plant: Plant Classification with CNN/RNN. It consists of CAFFE/Tensorflow implementation of our PR-17, TIP-18 (HGO-CNN & PlantStructNet) and MalayaKew dataset.
Stars: ✭ 66 (-60%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
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ChicksexerA Python package for gender classification.
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Document Classifier LstmA bidirectional LSTM with attention for multiclass/multilabel text classification.
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SruSRU is a recurrent unit that can run over 10 times faster than cuDNN LSTM, without loss of accuracy tested on many tasks.
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Emotion Recognition Using SpeechBuilding and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
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Lrp for lstmLayer-wise Relevance Propagation (LRP) for LSTMs
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StockpredictionPlain Stock Close-Price Prediction via Graves LSTM RNNs
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