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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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Qa RankitQA - Answer Selection (Rank candidate answers for a given question)
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EthnicolrPredict Race and Ethnicity Based on the Sequence of Characters in a Name
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Rnn NotebooksRNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
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Multilstmkeras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS
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Handwriting SynthesisImplementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850
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Neural Image CaptioningImplementation of Neural Image Captioning model using Keras with Theano backend
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LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Buckets JsA complete, fully tested and documented data structure library written in pure JavaScript.
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BplustreeA minimal but extreme fast B+ tree indexing structure demo for billions of key-value storage
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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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Deep Learning With PythonExample projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
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ContainersThis library provides various containers. Each container has utility functions to manipulate the data it holds. This is an abstraction as to not have to manually manage and reallocate memory.
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GraphviewFlutter GraphView is used to display data in graph structures. It can display Tree layout, Directed and Layered graph. Useful for Family Tree, Hierarchy View.
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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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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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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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Getting Things Done With PytorchJupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
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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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KiGo language (golang) full strength tree structures (ki in Japanese)
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Lstm chemImplementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
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StockpricepredictionStock Price Prediction using Machine Learning Techniques
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Nlp Models TensorflowGathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
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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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Abstractive SummarizationImplementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.
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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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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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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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Bertem论文实现(ACL2019):《Matching the Blanks: Distributional Similarity for Relation Learning》
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Array To TreeConvert a plain array of nodes (with pointers to parent nodes) to a nested data structure
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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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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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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