JiashuWu

jiashuwu.github.io

My personal Website

ucasthesis

LaTeX Thesis Template for the University of Chinese Academy of Sciences

yangwanggroup

OPDA_BP

Separate_to_Adapt

Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

AMS

Code released for our ECCV 2022 paper "Interpretable Open-Set Domain Adaptation via Angular Margin Separation".

HyMOS

Hyperspherical classification for Multi-source Open-Set domain adaptation

YouType

Input method helper

DA

Unsupervised Domain Adaptation Papers and Code

Adversarial-Reweighting-for-Partial-Domain-Adaptation

Code for Adversarial Reweighting for Partial Domain Adaptation (NeurIPS 2021)

Books

My book list

EvoloPy

EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

MFO-Python

Moth-Flame Optimization Algorithm Implementation in Python

flows

Network Flows Optimization - Shortest Path, Max Flow and Min Cost Flow Algorithms in Python

honeybee

An artificial bee colony implementation in Python

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

GDCAN

[TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339

aimto408

🇨🇳🇨🇳🇨🇳这个repo是为了那些准备死磕 计算机考研 4️⃣0️⃣8️⃣的考研党准备的，当然你如果4门课中的部分也可以看看，欢迎star📝📝📝，祝你们一战成硕🏆🏆🏆~~（更新23年大纲变化----2023年408和数学基本无变化）

awesome-programming-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

Awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

Books_Reading

Java技术栈书籍

books

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

distributed-consensus-reading-list

A list of papers about distributed consensus.

Tech-Interview-Cheat-Sheet

Studying for a tech interview sucks. Here's an open source cheat sheet to help

fonts

Font files available from Google Fonts, and a public issue tracker for all things Google Fonts

tensorflow-federated

An open-source framework for machine learning and other computations on decentralized data.

Transfer-Learning-Library

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Algorithm_Interview_Notes-Chinese

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。