Xu.Black's repositories
chatGPT-web
chatGPT私有化部署
atom3
Atomic Data Processing (Python 3 Version)
battle-city
🎮 Battle city remake built with react.
blackbox-deep-graph-matching
Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers
CMake
Mirror of CMake upstream repository
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
computer_graph_and_image_job
graph part use osg implement a tank battle procedures，image part A GUI desktop image processing program is designed
deep-graph-matching-consensus
Implementation of Deep Graph Matching Consensus in PyTorch
deep-learning-papers-translation
深度学习论文翻译，包括分类论文，检测论文等
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
DIPS
Database of Interacting Protein Structures (DIPS)
djangocms
Django CMS 3.5 demo for Cloud Foundry
GraphSol
A Protein Solubility Predictor developed by Graph Convolutional Network and Predicted Contact Map
HelloGitHub
:octocat: Find pearls on open-source seashore 分享 GitHub 上有趣、入门级的开源项目
LeetCode
一起来刷LeetCode，一起学习，一起提高！欢迎点击 star ，欢迎在公众号「良许Linux」后台回复「leetcode」一起加入我们！
LPMP
Solving LPs with convergent message passing
models
Models and examples built with TensorFlow
ohmyzsh
🙃 A delightful community-driven (with 1800+ contributors) framework for managing your zsh configuration. Includes nearly 300 optional plugins (rails, git, OSX, hub, docker, homebrew, node, php, python, etc), over 140 themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.
opencv_extra
OpenCV extra data
PCA-GM
Code for ICCV 2019 oral paper: Learning Combinatorial Embedding Networks for Deep Graph Matching
Postgraduate-408-old-exam
考研 408 计算机真题
ProteinGCN
ProteinGCN: Protein model quality assessment using Graph Convolutional Networks
QC-DGM
Official code for the paper: Deep Graph Matching under Quadratic Constraint (CVPR 2021)
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Waking-Up
计算机基础（计算机网络/操作系统/数据库/Git...）面试问题全面总结，包含详细的follow-up question以及答案；没有多余的知识点讲解，都是【问题+追问+答案】的形式，即拿即用，直击面试；可用于模拟面试、面试前复习、短期内快速备战面试...
wassdistance
Approximating Wasserstein distances with PyTorch
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