hehedawang

hehedawang's Stars

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k9961883.4k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16k1071k1.6k

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook13.6k2511051.9k

• windingwind/zotero-pdf-translate

  Translate PDF, EPub, webpage, metadata, annotations, notes to the target language. Support 20+ translate services.

  Language:TypeScript7.1k23778339

• deepseek-ai/DeepSeek-V2

  DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

  3.5k2984143

• JShollaj/awesome-llm-interpretability

  A curated list of Large Language Model (LLM) Interpretability resources.

  1.1k16288

• chatopera/insuranceqa-corpus-zh

  :helicopter: 保险行业语料库，聊天机器人

  Language:Python1k5525345

• corca-ai/awesome-llm-security

  A curation of awesome tools, documents and projects about LLM Security.

  88531587

• 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.

  87515749

• ThuCCSLab/Awesome-LM-SSP

  A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).

  779221550

• FudanDISC/DISC-FinLLM

  DISC-FinLLM，中文金融大语言模型（LLM），旨在为用户提供金融场景下专业、智能、全面的金融咨询服务。DISC-FinLLM, a Chinese financial large language model (LLM) designed to provide users with professional, intelligent, and comprehensive financial consulting services in financial scenarios.

  Language:Python57152769

• The-FinAI/PIXIU

  This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).

  Language:Jupyter Notebook51481060

• penghui-yang/awesome-data-poisoning-and-backdoor-attacks

  A curated list of papers & resources linked to data poisoning, backdoor attacks and defenses against them (no longer maintained)

  1763017

• vtu81/backdoor-toolbox

  A compact toolbox for backdoor attacks and defenses.

  Language:Python1411616

• KuofengGao/ASD

  [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset

  Language:Python40123

• SCLBD/DBD

  Language:Python28236

• Albert26193/beaver-ssg

  An SSG tool for quickly building modern documentation sites. 🚀️🚀️🚀️

  Language:TypeScript27100

• bboylyg/RNP

  Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)

  Language:Python27233

• KaiyuanZh/OrthogLinearBackdoor

  Exploring the Orthogonality and Linearity of Backdoor Attacks [IEEE S&P 2024]

  Language:Python16110

• LYang-666/TRGP

  [ICLR 2022] Official Code Repository for "TRGP: TRUST REGION GRADIENT PROJECTION FOR CONTINUAL LEARNING"

  Language:Python16212

• mlbio-epfl/hume

  [NeurIPS 2023 Spotlight] The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning

  Language:Python14201

• Xtra-Computing/VertiBench

  Feature partitioner by imbalance or correlation (ICLR 2024)

  Language:Jupyter Notebook14801

• ZichenMiao/CL_Atom_Swapping

  ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping

  Language:Python14125

• shentt67/VFL_Survey

  Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan University.

  11101

• neeharperi/DeepKNNDefense

  KNN Defense Against Clean Label Poisoning Attacks

  Language:Python10251

• blingcho/VFLIP-esorics24

  Language:Python71

• John-niu-07/PUD

  Language:Python50

• cuiyuebing/VFL_CE

  4100

• RorschachChen/PIPD

  Language:Python4100

• spring-epfl/Transferable-Cat-Robustness

  Language:Python3301