RongchangZhao

awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

awesome-self-supervised-learning

A curated list of awesome Self-Supervised methods

pOSAL

Code for pOSAL

RongchangZhao.github.io

Segmentation.X

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

AdaptSegNet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models and Score-matching Models, a darkhorse in the field of Generative Models

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

BiSeNet

BiSeNet based on pytorch

CausalDA

Causal data augmentation for pretraining debiasing

CausalInferenceIntro

Causal Inference for the Brave and True的中文翻译版。全部代码基于Python，适用于计量经济学、量化社会学、策略评估等领域。英文版原作者：Matheus Facure

CVPR-2019-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

d2l-en

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

deepslide

A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

DIF-Net

MICCAI 2023: Learning Deep Intensity Field for Extremely Sparse-View CBCT Reconstruction

ERNet

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

hello-algo

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version ongoing

ICLR2021-OpenReviewData

Crawl & visualize ICLR papers and reviews.

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

maskscoring_rcnn

Codes for paper "Mask Scoring R-CNN".

MultiObjectiveOptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

naf_cbct

NeurIPS-2020-Paper-Statistics

Statistics and Visualization of acceptance rate, main keyword of NeurIPS 2020 accepted papers

ShenNong-TCM-LLM

Repo for ShenNong-TCM-LLM (“神农”大模型，首个中医药中文大模型)

SIFA

snap

SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)

TorchSeg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

vit-pytorch

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

WeakSupervisedSegmentationList

This repository contains lists of state-or-art weakly supervised semantic segmentation works