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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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Doc Han AttHierarchical Attention Networks for Chinese Sentiment Classification
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Hey JetsonDeep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.
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Graph attention poolAttention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)
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Pytorch Sentiment AnalysisTutorials on getting started with PyTorch and TorchText for sentiment analysis.
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keras-utility-layer-collectionCollection of custom layers and utility functions for Keras which are missing in the main framework.
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Multihead Siamese NetsImplementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
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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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AttentionnAll about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.
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Load forecastingLoad forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models
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TcdfTemporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Market-Trend-PredictionThis is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).
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StylenetA cute multi-layer LSTM that can perform like a human 🎶
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ThesemicolonThis repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
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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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ClinicalbertClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
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Tf Rnn AttentionTensorflow implementation of attention mechanism for text classification tasks.
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DeepMoveCodes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
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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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Stock AnalysisRegression, Scrapers, and Visualization
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Sars tutorialRepository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
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Fast PytorchPytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
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TsaiTime series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai
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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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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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