YanghaoZYH

YanghaoZYH's Stars

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k1.4k015.3k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++67.1k5523.9k9.6k

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python60.9k4761.4k13.3k

• jmorganca/ollama

  Get up and running with Llama 2, Mistral, and other large language models locally.

  Language:Go32.4k2261.2k2.2k

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue6.2k2283437

• AutumnWhj/ChatGPT-wechat-bot

  ChatGPT for wechat https://github.com/AutumnWhj/ChatGPT-wechat-bot

  Language:TypeScript4.7k53235979

• hadley/r4ds

  R for data science: a book

  Language:R4.6k2185924.2k

• microsoft/promptbench

  A unified evaluation framework for large language models

  Language:Python2.4k2054182

• stanford-crfm/helm

  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).

  Language:Python1.9k351.1k245

• JDAI-CV/FaceX-Zoo

  A PyTorch Toolbox for Face Recognition

  Language:Python1.9k41159433

• greshake/llm-security

  New ways of breaking app-integrated LLMs

  Language:Jupyter Notebook1.8k345120

• leondz/garak

  LLM vulnerability scanner

  Language:Python1.4k18559164

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.2k481102

• Lionelsy/Conference-Accepted-Paper-List

  Some Conferences' accepted paper lists (including AI, ML, Robotic)

  96336273

• ydyjya/Awesome-LLM-Safety

  A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights into the safety implications, challenges, and advancements surrounding these powerful models.

  95316853

• RobustBench/robustbench

  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

  Language:Python665911199

• laiyer-ai/llm-guard

  The Security Toolkit for LLM Interactions

  Language:Python619142462

• chawins/llm-sp

  Papers and resources related to the security and privacy of LLMs 🤖

  Language:Python42615831

• hackernoon/learn

  The place to learn about the top technology, programming, web3, business, media, gaming, data science, finance, and cybersecurity stories from around the internet!

  39112043

• MinghuiChen43/awesome-trustworthy-deep-learning

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

  34213034

• Daniel-xsy/RoboBEV

  RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

  Language:Python334101432

• ldkong1205/Robo3D

  [ICCV 2023] Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

  Language:Python3169725

• Verified-Intelligence/auto_LiRPA

  auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

  Language:Python28588271

• zhuchen03/FreeLB

  Adversarial Training for Natural Language Understanding

  Language:Python25081841

• hyintell/AAGPT

  AAGPT is another experimental open-source application showcasing the capabilities of large language models, such as GPT-3.5 and GPT-4.

  Language:Python15418022

• rod-trent/OpenAISecurity

  Scripts and Content for working with Open AI

  Language:Python1496131

• Zhenyu-LIAO/RMT4ML

  Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

  Language:Jupyter Notebook1095038

• yjhuangcd/local-lipschitz

  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).

  Language:Python22324

• PKU-ML/CFA

  Language:Python17123

• LitterQ/ATLD-pytorch

  This is the implementation of the "Improving Model Robustness with Latent Distribution Locally and Globally"

  Language:Python6101