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Pytorch Seq2seqTutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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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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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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Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
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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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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Pytorch GatMy implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
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LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
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Pytorch Pos TaggingA tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.
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Pytorch Original TransformerMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
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Pytorch NtmNeural Turing Machines (NTM) - PyTorch Implementation
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Music2danceGenerating Dance steps for given music with deep learning
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Tensorflow TutorialSome interesting TensorFlow tutorials for beginners.
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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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SockeyeSequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
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Ner blstm CrfLSTM-CRF for NER with ConLL-2002 dataset
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Gym ContinuousdoubleauctionA custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum continuous double auction. Ray [RLlib] is used for training.
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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。
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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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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Stock Prediction ModelsGathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
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