riqianggao Goto Github PK

autogluon-tutorial-cvpr2020

Hands-on Tutorial on Automated Deep Learning

avuc

Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

contrastive-unpaired-translation

PyTorch Implementation of CUT, Contrastive Learning for Unpaired Image-to-Image Translation, ECCV 2020

ct-gan

A GAN based framework for adding and removing medical evidence in 3D volumetric medical scans

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

gae-pytorch

Graph Auto-Encoder in PyTorch

mnist-cpbgan

mxdrnn_examplecode

This is the example code of the paper MXDRNN

nodulenet

[MICCAI' 19] NoduleNet: Decoupled False Positive Reduction for Pulmonary Nodule Detection and Segmentation

partial-encoder-decoder

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

portpy

First opensource radiation treatment planning system in Python [AAPM'23]

ppoxfamily

PPO x Family DRL Tutorial Course（决策智能入门级公开课：8节课帮你盘清算法理论，理顺代码逻辑，玩转决策AI应用实践 ）

prml

PRML algorithms implemented in Python

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

probai-2019

Materials of the Nordic Probabilistic AI School 2019.

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

riqianggao.github.io

riqianggao1.github.io

The homepage of Riqiang Gao

self-attention-gan

Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN)

tumor-cifar

unsupervised-classification

Learning To Classify Images Without Labels

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch