ChangWenhan

ChangWenhan's Stars

• BHui97/PLeak

  Language:Python342

• erfanhatefi/Pruning-by-eXplaining-in-PyTorch

  Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers, Paper accepted at eXCV workshop of ECCV 2024

  Language:Python12

• zepinglee/gbt7714-bibtex-style

  GB/T 7714-2015 BibTeX Style

  Language:TeX1.2k200

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.5k1.6k

• amazon-science/auto-cot

  Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

  Language:Jupyter Notebook1.5k139

• UKPLab/arxiv2024-divergent-cot

  Code for the 2024 arXiv publication "Fine-Tuning with Divergent Chains of Thought Boosts Reasoning Through Self-Correction in Language Models"

  Language:Python212

• csitfun/LogiCoT

  the instructions and demonstrations for building a formal logical reasoning capable GLM

  502

• bklieger-groq/g1

  g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains

  Language:Python3.8k344

• tcsenpai/multi1

  multi1: create o1-like reasoning chains with multiple AI providers (and locally). Supports LiteLLM as backend too for 100+ providers at once.

  Language:Python29121

• olonok69/LLM_Notebooks

  Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases

  Language:Jupyter Notebook5311

• PromtEngineer/Agent-0

  This project is a **proof of concept** that aims to replicate the reasoning capabilities of OpenAI's newly released O1 model.

  Language:Python7118

• zepingyu0512/awesome-llm-understanding-mechanism

  awesome papers in LLM interpretability

  30112

• BatsResearch/bonito

  A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.

  Language:Python68745

• jaechan-repo/muse_bench

  Language:Python117

• zjunlp/EasyEdit

  [ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

  Language:Jupyter Notebook1.9k228

• kmeng01/memit

  Mass-editing thousands of facts into a transformer memory (ICLR 2023)

  Language:Python43351

• trzhang0116/feature-contamination

  Code accompanying the ICML'24 paper "Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize"

  Language:Python19

• ajbrock/BigGAN-PyTorch

  The author's officially unofficial PyTorch BigGAN implementation.

  Language:Python2.9k475

• zhmzm/Poisoning_Backdoor-critical_Layers_Attack

  [ICLR2024] "Backdoor Federated Learning by Poisoning Backdoor-Critical Layers"

  Language:Python176

• yule-BUAA/MergeLM

  Codebase for Merging Language Models (ICML 2024)

  Language:Python76244

• yueyang2000/CKA_minibatch_pytorch

  Pytorch implementation of Centered Kernel Alignment(CKA) and its minibatch version.

  Language:Python101

• sangamesh-kodge/class_forgetting

  [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting"

  Language:Python13

• 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.

  94853

• unslothai/unsloth

  Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python17.5k1.2k

• JayZhang42/FederatedGPT-Shepherd

  Shepherd: A foundational framework enabling federated instruction tuning for large language models

  Language:Python20131

• longtanle/awesome-federated-LLM-learning

  This is a collection of research papers for Federated Learning for Large Language Models (FedLLM). And the repository will be continuously updated to track the frontier of FedLLM.

  64

• rachtibat/LRP-eXplains-Transformers

  Layer-Wise Relevance Propagation for Large Language Models and Vision Transformers [ICML 2024]

  Language:Python928

• fhvilshoj/TorchLRP

  A PyTorch 1.6 implementation of Layer-Wise Relevance Propagation (LRP).

  Language:Python12525

• OpenRLHF/OpenRLHF

  An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)

  Language:Python2.4k231

• Instruction-Tuning-with-GPT-4/GPT-4-LLM

  Instruction Tuning with GPT-4

  Language:HTML4.2k301