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Eeg DlA Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
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address-netA package to structure Australian addresses
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Rnnt Speech RecognitionEnd-to-end speech recognition using RNN Transducers in Tensorflow 2.0
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HartHierarchical Attentive Recurrent Tracking
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Human-Activity-RecognitionHuman activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Pytorch Image Comp RnnPyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks
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Vae SeqVariational Auto-Encoders in a Sequential Setting.
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LightnetEfficient, transparent deep learning in hundreds of lines of code.
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QrnQuery-Reduction Networks (QRN)
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Midi RnnGenerate monophonic melodies with machine learning using a basic LSTM RNN
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Rnn From ScratchUse tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
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Crnn Audio ClassificationUrbanSound classification using Convolutional Recurrent Networks in PyTorch
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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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dltfHands-on in-person workshop for Deep Learning with TensorFlow
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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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See RnnRNN and general weights, gradients, & activations visualization in Keras & TensorFlow
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Clockwork-RNNThis repository is a reproduction of the clockwork RNN paper.
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Text predictorChar-level RNN LSTM text generator📄.
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HasteHaste: a fast, simple, and open RNN library
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ArnetCVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present
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Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
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Word Rnn TensorflowMulti-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.
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LSTM-TensorSparkImplementation of a LSTM with TensorFlow and distributed on Apache Spark
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IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
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SleepeegnetSleepEEGNet: Automated Sleep Stage Scoring with Sequence to Sequence Deep Learning Approach
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presidential-rnnProject 4 for Metis bootcamp. Objective was generation of character-level RNN trained on Donald Trump's statements using Keras. Also generated Markov chains, and quick pyTorch RNN as baseline. Attempted semi-supervised GAN, but was unable to test in time.
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Attend infer repeatA Tensorfflow implementation of Attend, Infer, Repeat
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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MetaTraderForecastRNN based Forecasting App for Meta Trader and similar trading platforms
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