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xxisxxs's Stars

• exacity/deeplearningbook-chinese

  Deep Learning Book Chinese Translation

  Language:TeX35.9k2.2k2029.1k

• ChristosChristofidis/awesome-deep-learning

  A curated list of awesome Deep Learning tutorials, projects and communities.

  24.5k1.2k226.1k

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23.2k2452.6k3.3k

• NVIDIA/apex

  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

  Language:Python8.5k1001.2k1.4k

• deeplearning-ai/machine-learning-yearning-cn

  Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

  Language:CSS7.8k382111.5k

• pytorch/captum

  Model interpretability and understanding for PyTorch

  Language:Python5k279553504

• tangtangcoding/C-C-

  程序员相关电子书资料免费分享，欢迎关注个人微信公众号：编程与实战

  4.7k89121.2k

• wookayin/gpustat

  📊 A simple command-line utility for querying and monitoring GPU status

  Language:Python4.1k44122283

• ndrplz/ConvLSTM_pytorch

  Implementation of Convolutional LSTM in PyTorch.

  Language:Python2k2029434

• jakobrunge/tigramite

  Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

  Language:Jupyter Notebook1.4k39200280

• SauceCat/PDPbox

  python partial dependence plot toolbox

  Language:Jupyter Notebook8481869129

• automan000/Convolutional_LSTM_PyTorch

  Multi-layer convolutional LSTM with Pytorch

  Language:Python808620198

• thuml/predrnn-pytorch

  Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

  Language:Python4551146115

• jhhuang96/ConvLSTM-PyTorch

  ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

  Language:Python40191085

• amazon-science/earth-forecasting-transformer

  Official implementation of Earthformer

  Language:Jupyter Notebook373123262

• HFAiLab/OpenCastKit

  The open-source solutions of FourCastNet and GraphCast

  Language:Python31162781

• Yunbo426/predrnn-pp

  Code release for "PredRNN++: Towards A Resolution of the Deep-in-Time Dilemma in Spatiotemporal Predictive Learning" (ICML 2018)

  Language:Python26310582

• Yunbo426/MIM

  Code release for "Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics" (CVPR 2019)

  Language:Python15251038

• Seekladoom/Freeplane-MindMap-Template

  Freeplane-MindMap-Template（Freeplane 思维导图模板）

  Language:HTML1516333

• tychovdo/MovingMNIST

  Moving MNIST as PyTorch Dataset

  Language:Python955125

• inouye-lab/ShapleyExplanationNetworks

  Implementation of the paper "Shapley Explanation Networks"

  Language:Python864615

• Orion-AI-Lab/wildfire_forecasting

  Deep Learning Models for Wildfire Danger Forecasting

  Language:Python664017

• giserh/ConvLSTM-2

  Convolutional LSTM for Precipitation Nowcasting

  Language:Python542053

• sakov/enkf-c

  EnKF code for DA with large-scale layered geophysical models.

  Language:C3571224

• MeteoSwiss/c4dl-multi

  Code for paper "Thunderstorm nowcasting with deep learning: a multi-hazard data fusion model"

  Language:Python316011

• geek-yang/DLACs

  A library designed to implement deep learning algorisms to climate data for weather and climate prediction.

  Language:Jupyter Notebook201115

• ayushi-b/Random_Phenomena_by_Babatunde_Ogunnaike

  📖 Solutions of exercises from the book "Random Phenomena: Fundamentals of Probability and Statistics for Engineers" by Babatunde Ogunnaike.

  Language:Jupyter Notebook14108

• metno/metroms

  Coupled ROMS-CICE through MCT

  Language:Fortran12111513

• jakobdoerr/SIMIP_2020

  Scripts for the processing, analysis and plots of the SIMIP Community Paper (Notz et al. 2020)

  Language:Jupyter Notebook3101

• cmip6dr/dreqPy1.2

  Language:Python1