mchantry

mchantry's Stars

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  25.7k280372.2k

• diff-usion/Awesome-Diffusion-Models

  A collection of resources and papers on Diffusion Models

  Language:HTML10.4k26843902

• eriklindernoren/Keras-GAN

  Keras implementations of Generative Adversarial Networks.

  Language:Python9.2k2762243.1k

• Janspiry/Image-Super-Resolution-via-Iterative-Refinement

  Unofficial implementation of Image Super-Resolution via Iterative Refinement by Pytorch

  Language:Python3.4k66133449

• POSTECH-CVLab/PyTorch-StudioGAN

  StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

  Language:Python3.4k54117333

• neuraloperator/neuraloperator

  Learning in infinite dimension with neural operators.

  Language:Python1.9k39191504

• jonkhler/s2cnn

  Spherical CNNs

  Language:Python9392848176

• vahidk/tfrecord

  TFRecord reader for PyTorch

  Language:Python844863105

• PracticalDL/Practical-Deep-Learning-Book

  Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

  Language:Jupyter Notebook7292852306

• SpeedyWeather/SpeedyWeather.jl

  Play atmospheric modelling like it's LEGO.

  Language:Julia4001314324

• openclimatefix/graph_weather

  PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

  Language:Jupyter Notebook17977244

• spcl/deep-weather

  Deep Learning for Post-Processing Ensemble Weather Forecasts

  Language:Jupyter Notebook8415015

• nbren12/call_py_fort

  Call python from fortran

  Language:Fortran80111722

• raspstephan/CBRAIN-CAM

  Code for neural network parameterization project

  Language:Jupyter Notebook6991555

• ecmwf-ifs/ecrad

  ECMWF atmospheric radiation scheme

  Language:Fortran4516630

• anndvision/quince

  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding

  Language:Python21112

• AI4SIM/model-collection

  This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is is structured on the basis of use-cases providing canonical PyTorch Lightning pipelines allowing to train neural network models that are able to surrogate various physical processes.

  Language:Jupyter Notebook16805

• ruehlef/ML-Oxford-2020

  Language:Python12104

• ecmwf-lab/ml-training-course

  Language:Jupyter Notebook105012

• LoryPack/GenerativeNetworksScoringRulesProbabilisticForecasting

  Language:Python7102

• TNTLFreiburg/pytorch_patternnet

  Pytorch implementation of PatternNet.

  Language:Jupyter Notebook6102

• conrad-blucher-institute/shap

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

  Language:Jupyter Notebook5101

• mantik-ai/tutorials

  Tutorials and demonstration materials for the mantik platform

  22111

• AI4SIM/ecrad

  ECMWF atmospheric radiation scheme

  Language:Fortran1000