Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Text predictorChar-level RNN LSTM text generator📄.
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Chameleon recsysSource code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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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)
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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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。
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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.
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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Lstm Human Activity RecognitionHuman Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
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Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
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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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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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DrowsyDriverDetectionThis is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
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TelemanomA framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
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ConvLSTM-PyTorchConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST
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object-trackingMultiple Object Tracking System in Keras + (Detection Network - YOLO)
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Speech-RecognitionEnd-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
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myDLDeep Learning
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deep-improvisationEasy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.
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question-pairA siamese LSTM to detect sentence/question pairs.
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Sequence-Models-courseraSequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.
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OCROptical character recognition Using Deep Learning
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GAN-RNN Timeseries-imputationRecurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
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rnn2dCPU and GPU implementations of some 2D RNN layers
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Dense BiLSTMTensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification
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tiny-rnnLightweight C++11 library for building deep recurrent neural networks
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totally humansrnn trained on r/totallynotrobots 🤖
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hcnHybrid Code Networks https://arxiv.org/abs/1702.03274
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Pytorch-POS-TaggerPart-of-Speech Tagger and custom implementations of LSTM, GRU and Vanilla RNN
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time-series-forecasting-tensorflowjsPull stock prices from online API and perform predictions using Long Short Term Memory (LSTM) with TensorFlow.js framework
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ms-convSTAR[RSE21] Pytorch code for hierarchical time series classification with multi-stage convolutional RNN
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sgrnnTensorflow implementation of Synthetic Gradient for RNN (LSTM)
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ParaphraserSentence paraphrase generation at the sentence level
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CS231nMy solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
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Da Rnn📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)
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