Stars
Data and analysis for 'Machine Bias'
Repository for Kuzushiji-MNIST, Kuzushiji-49, and Kuzushiji-Kanji
This is a repository for the paper 'Efficient Federated Unlearning under Plausible Deniability' presented in ACML 2024. OA in Machine Learning journal:
Repo on unlearning in FL. FYP22002@HKUCS.
Introduction to Machine Learning Systems
Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023
Awesome Federated Unlearning (FU) Papers (Continually Update)
Convolutional Neural Network (CNN) for network intrusion
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Generative adversarial training for generating synthetic tabular data.
PyTorch implementations of Generative Adversarial Networks.
Causal Responsibility EXplanations for Image Classifiers and Tabular Data
Lime: Explaining the predictions of any machine learning classifier
Awesome Explainable AI (XAI) and Interpretable ML Papers and Resources
A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai