Zhang JinXiong（张金雄）'s repositories
A-_Guide_-to_Data_Sciecne_from_mathematics
It is a blueprint to data science from the mathematics to algorithms. It is not completed.
18303
18.303 - Linear PDEs course
awesome-adversarial-machine-learning
A curated list of awesome adversarial machine learning resources
awesome-AutoML-and-Lightweight-Models
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Awesome-Deep-Neural-Network-Compression
Summary, Code for Deep Neural Network Quantization
awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
awesome-machine-learning-in-compilers
Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation
Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
bit-by-bit
Bit-by-bit: Search Strategies, Resource Organization, Management & Sustainability; The Creation of Knowledge in the Digital Era
chemParser
Decompse the SMILES into basic sets
cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
Graph-Embedding-and-Geometric-Deep-Learning
Some paper I plan to study on graph embedding and geometric deep learning.
Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond