zhangyuansen

zhangyuansen's Stars

• moymix/TaskMatrix

  Language:Python34.5k3093483.3k

• haotian-liu/LLaVA

  [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

  Language:Python19.7k1571.5k2.2k

• ymcui/Chinese-LLaMA-Alpaca

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

  Language:Python18.3k1857311.9k

• WooooDyy/LLM-Agent-Paper-List

  The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.

  6.5k13313387

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6k745341k

• llm-attacks/llm-attacks

  Universal and Transferable Attacks on Aligned Language Models

  Language:Python3.4k3494468

• modelscope/swift

  ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V-2.6, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

  Language:Python2.7k19758245

• eric-mitchell/direct-preference-optimization

  Reference implementation for DPO (Direct Preference Optimization)

  Language:Python2.1k1981172

• Timothyxxx/Chain-of-ThoughtsPapers

  A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".

  1.9k493129

• zjunlp/EasyEdit

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

  Language:Jupyter Notebook1.8k23309219

• yechens/NL2SQL

  Text2SQL 语义解析数据集、解决方案、paper资源整合项目

  1.2k239154

• zixian2021/AI-interview-cards

  最完整的AI算法面试题目仓库，1000道，25个类目

  1.1k9389

• yule-BUAA/MergeLM

  Codebase for Merging Language Models (ICML 2024)

  Language:Python75774044

• ucinlp/autoprompt

  AutoPrompt: Automatic Prompt Construction for Masked Language Models.

  Language:Python593113182

• facebookresearch/GradientEpisodicMemory

  Continuum Learning with GEM: Gradient Episodic Memory

  Language:Python39314673

• BeyonderXX/InstructUIE

  Universal information extraction with instruction learning

  Language:Python36364033

• JH-LEE-KR/l2p-pytorch

  PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

  Language:Python17521223

• yunqing-me/AttackVLM

  [NeurIPS-2023] Annual Conference on Neural Information Processing Systems

  Language:Python1572226

• thunlp/OpenBackdoor

  An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)

  Language:Python148103122

• cmnfriend/O-LoRA

  Language:Python14313017

• neural-dialogue-metrics/Distinct-N

  Compute Distinct-N metric proposed by Jiwei Li et al.

  Language:Python1142211

• arazd/ProgressivePrompts

  Progressive Prompts: Continual Learning for Language Models

  Language:Python892411

• reasoning-machines/CoCoGen

  Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)

  Language:Python866211

• hkust-nlp/PEM_composition

  [NeurIPS 2023] Github repository for "Composing Parameter-Efficient Modules with Arithmetic Operations"

  Language:Python583610

• BeyonderXX/TRACE

  TRACE: A Comprehensive Benchmark for Continual Learning in Large Language Models

  Language:Python57238

• h3lio5/episodic-lifelong-learning

  Implementation of "Episodic Memory in Lifelong Language Learning"(NeurIPS 2019) in Pytorch

  Language:Python57448

• SALT-NLP/IDBR

  Codes for the paper: "Continual Learning for Text Classification with Information Disentanglement Based Regularization"

  Language:Python42612

• MehdiAbbanaBennani/continual-learning-ogdplus

  Code for "Generalisation Guarantees for Continual Learning with Orthogonal Gradient Descent" (ICML 2020 - Lifelong Learning Workshop)

  Language:Shell40426

• cambridgeltl/ClaPS

  Survival of the Most Influential Prompts: Efficient Black-Box Prompt Search via Clustering and Pruning (Zhou et al.; EMNLP 2023 Findings)

  Language:Python16501

• meryemmhamdi1/x-continuous-learning

  This is to analyze and visualize different parameters and components in the architectures of different cross-lingual downstream tasks to detect and treat catastrophic forgetting.

  Language:Jupyter Notebook7402