《动手学大模型Dive into LLMs》系列编程实践教程

Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

Code for WACV 2022 paper "Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation"

Code for learnable topological features for phylogenetic inference via graph neural networks

A curated list of awesome papers on dataset distillation and related applications.

Existing Literature about Machine Unlearning

This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.

NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

Making large AI models cheaper, faster and more accessible

[ICCV2023] Dataset Quantization

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

PyTorch implementation of adversarial attacks [torchattacks].

IviaCLR: "Missing Value Imputation via Clusterwise Linear Regression". IviaCLR is coded in Fortran by Dr. Napsu Karmitsa (see read_me for more details). The artificial data sets are used to test Iv…

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Experiments on Tabular Data Models

Awesome Machine Unlearning (A Survey of Machine Unlearning)

The papers and results about RGB-T fusion tracking

Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

《机器学习》（西瓜书）公式详解

VIP cheatsheets for Stanford's CS 229 Machine Learning

Transfer Learning Library