minzhou1900 Goto Github PK

anea

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-gnns-on-large-scale-graphs

awesome-hyperbolic-neuralnetworks

Papers and Codes for the deep learning in hyperbolic space

awesome-paper-for-graph-learning-theory

awesome-self-supervised-gnn

Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).

cspm

dcai-lab

Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽‍💻

geomstats

Computations and statistics on manifolds with geometric structures.

geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

glb2022

graphneuralnetwork

《深入浅出图神经网络：GNN原理解析》配套代码

gts

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

hgnns

Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

interpretable-ml-book

Book about interpretable machine learning

machine-learning-session

min1900.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

minzhou1900.github.io

github_io_test

ntfk.jl

Unsupervised Machine Learning: Nonnegative Tensor Factorization + k-means clustering

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

paper_reading_list-

pypremise

PyPremise - Python tool for the Premise algorithm to identify patterns or explanations of where a machine learning classifier performs well and where it fails.

schedule

Schedule for learning on graphs seminar

topology-restoration-based-on-gnn