Treasure Trove of Useful Links

Welcome to this page, a treasure trove of useful links and resources that will empower you in your computer science journey. This comprehensive collection is carefully curated to enrich your learning experience and empower you to achieve your goals. So, dive in, explore, and unlock your full potential in the fascinating world of computer science and beyond!

Paper Rating

2023年CCF推荐国际学术会议和期刊目录 (中国计算机学会官网页面, PDF)
- 2019年版本 (中国计算机学会推荐国际学术会议和期刊目录, PDF)
2019年CCF推荐中文科技期刊目录 (中国计算机学会官网页面, PDF)
- CCF中文目录分为A、B、C三类，A为最顶级期刊，B为非常优秀期刊，C为优秀期刊。其中，A类期刊7本，B类期刊11本，C类期刊19本。
2022年CCF计算领域高质量科技期刊分级目录 (中国计算机学会官网页面, PDF)
- “计算领域高质量科技期刊分级目录”分为T1、T2、T3三类，T1为最顶级期刊，T2为非常优秀期刊，T3为优秀期刊。其中，T1类期刊16本，T2类期刊23本，T3类期刊29本。
清华大学计算机学科群推荐学术会议和期刊列表 (TH-CPL, PDF)
- 将推荐的学术会议和期刊划分为 A、B 两类

Cheatsheet

Documentations

Pandas is a popular Python library for data analysis.
Scikit-learn is one of the most popular ML libraries for classical ML algorithms.
Matplotlib is a very popular Python library for data visualization.
ENIOPS supports flexible and powerful tensor operations for readable and reliable code.

Books

Understanding Deep Learning (written by Simon J.D. Prince)
- FEATURE: An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.
Interactive Linear Algebra (written by Dan Margalit, & Joseph Rabinoff)
- FEATURE: Reading this introductory textbook on linear algebra in a fancy interactive way.
Transformers for Machine Learning (written by Uday Kamath, Kenneth Graham, & Wael Emara)
- FEATURE: the first comprehensive book on transformers.
LibreTexts Libraries - Mathmetics
- FEATURE: it is Open Access textbook that contains diverse mathmatics books (ie, Arithmetic and Basic Math, Linear Algebra, Calculus), allowing outside experts (students, faculty) to supplant conventional paper-based books
Approaching (Almost) Any Machine Learning Problem - Abhishek Thakur (github project: link)
- This book is written by World’s first quadruple grandmaster – Abhishek. It serves as an invaluable guide for both beginners and experienced practitioners in the field of machine learning.

Blogs

The Illustrated Transformer (by Jay Alammar) and its CN version — best illustration for self-attention mechanism in transformers
研习UNet
Semantic (语义)
- 浅谈认知智能之语义理解
- 从感知智能到认知智能：自然语言处理、知识图谱技术的发展与未来
Transformer Taxonomy (the last lit review)
- It covers 22 models, 11 architectural changes, 7 post-pre-training techniques and 3 training techniques (and 5 things that are none of the above).

GitHub Repos

Awesome List Video Object Segmentation: Latest VOS papers.
Academic Writing Skills by Zongwei Zhou: Some writing skills
Learning Reseach
English Writing Skills
Implementation of Denoising Diffusion Probabilistic Model in Pytorch: Collection of DDPM written by pytorch
Awesome-Multimodal-Large-Language-Models: A curated list of Multimodal Large Language Models (MLLMs), including datasets, multimodal instruction tuning, multimodal in-context learning, multimodal chain-of-thought, llm-aided visual reasoning, foundation models, and others.
Awesome-Parameter-Efficient-Transfer-Learning: A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

Research Writing

Workshop/Tutorial

Ability Enhancement

Something interesting

Medivis revolutionize AR solutions for medicine, including two majors: SurgicalAR for surgical imaging platform & AnatomyX for health education.
- These solutions can be corporated into Apple Vision Pro platform.
Andrej Marinchenko’s Github profile is the super-best github profile ever seen.

Ge-Peng (Daniel) Ji