ljcc0930

bigcode-evaluation-harness

A framework for the evaluation of autoregressive code generation language models.

FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

stable-diffusion-webui

Stable Diffusion web UI

llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

SOUL

Official repo for paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"

ZO-LLM

[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".

Unlearn-WorstCase

"Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

detexify

Latex Symbol Classifier Web Frontend

UnlearnCanvas

UnlearnCanvas: A Stylized Image Dataaset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Yimeng Zhang, Yuguang Yao, Jinghan Jia, Jiancheng Liu, Xiaoming Liu, Sijia Liu

Unlearn-Saliency

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

Quark

WeChatMsg

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Daily updating...

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

doppelgangers

Doppelgangers: Learning to Disambiguate Images of Similar Structures

Unlearn-Sparse

[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

ImageNet-Sketch

ImageNet-Sketch data set for evaluating model's ability in learning (out-of-domain) semantics at ImageNet scale

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

robustness

Corruption and Perturbation Robustness (ICLR 2019)

ood-benchmarks

Out-of-distribution generalization benchmarks for image recognition models

DomainBed

DomainBed is a suite to test domain generalization algorithms

visual_prompting

Official implementation and data release of the paper "Visual Prompting via Image Inpainting".

spawrious

open_flamingo

An open-source framework for training large multimodal models.

Painter

Painter & SegGPT Series: Vision Foundation Models from BAAI

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

RED-adv

"Can Adversarial Examples Be Parsed to Reveal Victim Model Information?" by Yuguang Yao*, Jiancheng Liu*, Yifan Gong*, Xiaoming Liu, Yanzhi Wang, Xue Lin, Sijia Liu

ACM-Training

SimuQ