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LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
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H1stThe AI Application Platform We All Need. Human AND Machine Intelligence. Based on experience building AI solutions at Panasonic: robotics predictive maintenance, cold-chain energy optimization, Gigafactory battery mfg, avionics, automotive cybersecurity, and more.
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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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TsfreshAutomatic extraction of relevant features from time series:
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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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DmmDeep Markov Models
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StingrayAnything can happen in the next half hour (including spectral timing made easy)!
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TsmoothieA python library for time-series smoothing and outlier detection in a vectorized way.
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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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StldecomposeA Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
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DeeptimeDeep learning meets molecular dynamics.
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EthnicolrPredict Race and Ethnicity Based on the Sequence of Characters in a Name
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DeeplearningfornlpinpytorchAn IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
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AsapASAP: Prioritizing Attention via Time Series Smoothing
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TimesynthA Multipurpose Library for Synthetic Time Series Generation in Python
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Relation Classification Using Bidirectional Lstm TreeTensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations
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ForecastingTime Series Forecasting Best Practices & Examples
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Time-Series-ForecastingRainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
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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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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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Image CaptioningImage Captioning using InceptionV3 and beam search
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dtsA Keras library for multi-step time-series forecasting.
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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Robust-Deep-Learning-PipelineDeep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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VdeVariational Autoencoder for Dimensionality Reduction of Time-Series
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Pytorch NtmNeural Turing Machines (NTM) - PyTorch Implementation
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