Setsukousa

Setsukousa's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python81.8k1.7k44.6k22k

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.8k7501.2k7.8k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.1k945243.7k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.2k2201564k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.3k4651.2k3.5k

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python8.7k951812k

• 0voice/expert_readed_books

  2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍

  6.8k156102.3k

• jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

  LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

  Language:Python4.8k252881.9k

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.8k14981.1k

• hichenway/stock_predict_with_LSTM

  Predict stock with LSTM supporting pytorch, keras and tensorflow

  Language:Python7342112292

• dzitkowskik/StockPredictionRNN

  High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

  Language:Python683689273

• crustio/crust

  Official Rust implementation of the Crust protocol

  Language:Rust4971633237

• timestocome/Test-stock-prediction-algorithms

  Use deep learning, genetic programming and other methods to predict stock and market movements

  Language:Jupyter Notebook419486151

• mattsherar/Temporal_Fusion_Transform

  Pytorch Implementation of Google's TFT

  Language:Jupyter Notebook23731458

• yangwohenmai/TimeSeriesForecasting

  基于统计学的时间序列预测(AR,ARM).

  Language:Python2324175

• dehoyosb/temporal_fusion_transformer_pytorch

  Language:Jupyter Notebook1934858

• jsyoon0823/Time-series-prediction

  Basic RNN, LSTM, GRU, and Attention for time-series prediction

  Language:Python1451221

• Lewuathe/COVID19-SIR

  COVID-19 SIR model estimation

  Language:Python13162075

• lisphilar/covid19-sir

  CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.

  Language:Python109650544

• stakahashy/fingan

  The implementation of "modeling financial time-series with generative adversarial networks"

  Language:Python544212

• zhiyongc/Stacked_Bidirectional_Unidirectional_LSTM

  Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network

  Language:Python544020

• v1xerunt/STAN

  Language:Jupyter Notebook2411012

• RajDandekar/MIT-Global-COVID-Modelling-Project-1

  Language:Julia17018

• Gandor26/covid-open

  Language:Jupyter Notebook14310

• AmaralMA42/quarantine_game

  Supplemental material containing the numerical integration of the quarantine game model of SIR infection dynamics

  Language:Python6102

• thomasallanhouse/covid19-los

  Code For COVID-19 Hospital Length of Stay Work

  Language:Jupyter Notebook6203

• alphanumericslab/EpidemicModeling

  Mathematical Modeling of Epidemic Diseases

  Language:MATLAB5305

• yshin12/sparseHP

  Sparse HP and other filtering procedures proposed in Lee et al. (2020)

  Language:R2103