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3dpose_ssl

3D Human Pose Machines with Self-supervised Learning

all-about-the-gan

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

avatarify

Avatars for Zoom and Skype

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

awesome-atmos

A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

awesome-deep-learning

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

awesome-image-inpainting

A curated list of image inpainting and video inpainting papers and resources

awesome-longtailed-learning

A codebase and a curated list of awesome deep long-tailed learning.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-self-supervised-papers

Paper bank for Self-Supervised Learning

awesome-super-resolution

A curated list of awesome super-resolution resources.

awesome-transformer-in-medical-imaging

[MedIA Journal] An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

awesome-u-net

Official repo for Medical Image Segmentation Review: The success of U-Net

basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bma

Routines for Bayesian Model Averaging.

bweng001.github.io

camps

Community Atmospheric Model Post-Processing System

casia-surf-2019-codes

code for ChaLearn Face Anti-spoofing Attack Detection Challenge@CVPR2019

cdo-bindings

Ruby/Python bindings for CDO

cfgrib

A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

cirl

[CVPR 2022 Oral] Code release for "Causality Inspired Representation Learning for Domain Generalization"

clcrn

This is an official Pytorch implementation of Conditional Local Convolution for Spatio-temporal Meteorological Forecasting, AAAI 2022

climatenet

Climate Analytics using Deep Neural Networks in Python.

climatereconstructionai

Software to train climate reconstruction technology (image inpaiting with partial convolutions) with numerical model output to re-fill missing values in observational datasets like HadCRUT4