JH.Zhang's repositories
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Computational_Biology_PDFs_CMU
This GitHub repository houses pdf files generated during my two-month internship at Carnegie Mellon University.
ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
arc
Adaptive and Reliable Classification: efficient conformity scores for multi-class classification problems
uncertainty-toolbox
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
wallstreet
Real time stock and option data.
java-books-collections
:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:
CS186
Learning materials for UCB CS186: Introduction to Database System
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
fuck-paywall
去掉华尔街日报和经济学人的付费墙。remove the paywalls of The Wallstreet Journal & The Economist.