Claydon-Wang

PandaLM

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

machine_unlearning

Existing Literature about Machine Unlearning

Imbalance-VLM

PersonalizedFL

Personalized federated learning codebase for research

Prompt4ReasoningPapers

[ACL 2023] Reasoning with Language Model Prompting: A Survey

logitnorm_ood

Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

TPGM

This repo implements the CVPR23 paper Trainable Projected Gradient Method for Robust Fine-tuning

Geometric-Sensitivity-Decomposition

robustness-vit

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

npos

source code for ICLR'23 paper "Non-parametric Outlier Synthesis"

arxiv-sanity-lite

arxiv-sanity lite: tag arxiv papers of interest get recommendations of similar papers in a nice UI using SVMs over tfidf feature vectors based on paper abstracts.

MCM

PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022

react

Code for NeurIPS 2021 paper "ReAct: Out-of-distribution Detection With Rectified Activations"

ChatPaper

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

large_scale_ood

MOS: Towards Scaling Out-of-distribution Detection for Large Semantic Space

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Grounded-Segment-Anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

ImageNet21K

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

ZSCL

Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models

MCQ

Code for Mildly Conservative Q-learning for Offline Reinforcement Learning (NeurIPS 2022)

PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

CRNet

Official Implementation of "CRNet: A Fast Continual Learning Framework with Random Theory" paper

phuber

[Re] Can gradient clipping mitigate label noise? (ML Reproducibility Challenge 2020)

open_clip

An open source implementation of CLIP.

CLIP

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

LLaMA-Adapter

[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。