Roy Chan's starred repositories
cs-self-learning
计算机自学指南
How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
openvpn-install
Set up your own OpenVPN server on Debian, Ubuntu, Fedora, CentOS or Arch Linux.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
SciencePlots
Matplotlib styles for scientific plotting
yolo_tracking
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
WebPlotDigitizer
Online tool to extract numerical data from plot images.
Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
Yolov5-deepsort-inference
Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中
continual-learning-papers
Continual Learning papers list, curated by ContinualAI
CVPR-2022-papers
CVPR 2022 papers with code (论文及代码）
continual-learning-baselines
Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.
IntroComputationModel
南京大学宋方敏《计算模型导引》题解
Keep-Learning
The record of what I‘ve been through.
awesome-real-time-AI
This is a list of awesome edgeAI inference related papers.
NJU-EasyConnect-Script
Scripts to optimize NJU EasyConnect client routing rules.
Why-should-I-learn-this-course
告诉你每门课的意义所在。