Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

A library for statistically estimating the privacy of ML pipelines from membership inference attacks

List of Computer Science courses with video lectures.

An annotated implementation of the Transformer paper.

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

Topological Graph Neural Networks (ICLR 2022)

Code for the 2022 paper 'How to Combine Membership-Inference Attacks on Multiple Updated Models'

📺 A place to discover the latest machine learning courses on YouTube.

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.

Build a Jekyll blog in minutes, without touching the command line.

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

Pretrained models on CIFAR10/100 in PyTorch

This project's goal is to evaluate the privacy leakage of differentially private machine learning models.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

"Probabilistic Machine Learning" - a book series by Kevin Murphy

CS 704 course website - Principles of Programming Languages

95.47% on CIFAR10 with PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Google's differential privacy library.