Claydon-Wang

Chinese-LLaMA-Alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

weak-to-strong

VLM_survey

Collection of AWESOME vision-language models for vision tasks

temperature_scaling

A simple way to calibrate your neural network.

llm-guard

The Security Toolkit for LLM Interactions

Awesome-LLM-Uncertainty-Reliability-Robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

TrustLLM

[ICML 2024] TrustLLM: Trustworthiness in Large Language Models

ChatGPT-airport-tizi-fanqiang

ChatGPT科学上网梯子机场推荐，GPT4升级教程，Claude-3免费使用教程

TorchCP

A Python toolbox for conformal prediction research on deep learning models, using PyTorch.

TrustScore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

latex-template

南方科技大学 LaTeX 模板目录 SUSTech LaTeX templates

APE

[ICCV 2023] Code for "Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement"

LURE

[ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Modality-Gap

Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning

ml-tic-clip

Repository for the paper: "TiC-CLIP: Continual Training of CLIP Models".

Aurora

[NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model

RobustVLM

[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

Adversarial-AutoMixup

Official PyTorch(MMCV) implementation of “Adversarial AutoMixup” (ICLR 2024 spotlight)

RelaxLoss

Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

CLIP-MIA

This is an official repository for Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study (ICCV2023).

OFTTA

ProximityBias-Calibration

beyond-confidence-atypicality

Repository for the NeurIPS 2023 paper "Beyond Confidence: Reliable Models Should Also Consider Atypicality"

conformal_prediction_via_label_ranking

[ICML'24] Conformal Prediction for Deep Classifier via Label Ranking

LogitClip

ICML 2023 Mitigating memorization of noisy labels by clipping the model prediction

DG_HAR