Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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Lstm anomaly thesisAnomaly detection for temporal data using LSTMs
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Pytorch Learners TutorialPyTorch tutorial for learners
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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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Mutual labels: jupyter-notebook, lstm, recurrent-neural-networks
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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Bitcoin Price Prediction Using LstmBitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network
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Language TranslationNeural machine translator for English2German translation.
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Image Caption Generator[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow
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ChoochooTraining Diary
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Screenshot To CodeA neural network that transforms a design mock-up into a static website.
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Gdax Orderbook MlApplication of machine learning to the Coinbase (GDAX) orderbook
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Sentiment Analysis Nltk Ml LstmSentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.
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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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LstmvisVisualization Toolbox for Long Short Term Memory networks (LSTMs)
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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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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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Mutual labels: jupyter-notebook, time-series, lstm
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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dtsA Keras library for multi-step time-series forecasting.
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LSTM-Time-Series-AnalysisUsing LSTM network for time series forecasting
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