fan2goa1

fan2goa1's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.9k4461315.6k

• hiyouga/LLaMA-Factory

  Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

  Language:Python30.9k1964.8k3.8k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python26.8k2254.5k3.9k

• rasbt/LLMs-from-scratch

  Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook26.8k298843k

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript18.2k1742.2k2.3k

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.2k942171.9k

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  17.4k363241.4k

• OpenBMB/MiniCPM

  MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

  Language:Python6.8k74195437

• InternLM/xtuner

  An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

  Language:Python3.7k33508303

• datawhalechina/so-large-lm

  大模型基础: 一文了解大模型基础知识

  2.6k2124226

• FranxYao/chain-of-thought-hub

  Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

  Language:Jupyter Notebook2.5k3734126

• AkariAsai/self-rag

  This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

  Language:Python1.7k1879158

• zjukg/KG-LLM-Papers

  [Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

  1.3k467100

• SmartFlowAI/EmoLLM

  心理健康大模型、LLM、The Big Model of Mental Health、Finetune、InternLM2、InternLM2.5、Qwen、ChatGLM、Baichuan、DeepSeek、Mixtral、LLama3、GLM4、Qwen2、LLama3.1

  Language:Python757442112

• zjukg/KG-MM-Survey

  Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey

  2856014

• HuskyInSalt/CRAG

  Corrective Retrieval Augmented Generation

  Language:Python27292225

• IAAR-Shanghai/CRUD_RAG

  CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

  Language:Python21521718

• OpenBMB/UltraEval

  [ACL 2024 Demo] Official GitHub repo for UltraEval: An open source framework for evaluating foundation models.

  Language:Python20881319

• zjukg/KnowPAT

  [Paper][ACL 2024 Findings] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering

  Language:Python18141216

• IAAR-Shanghai/UHGEval

  [ACL 2024] User-friendly evaluation framework: Eval Suite & Benchmarks: UHGEval, HaluEval, HalluQA

  Language:JavaScript17611417

• taishan1994/langchain-learning

  langchain学习笔记，包含langchain源码解读、langchain中使用中文模型、langchain实例等。

  1721324

• zjukg/Structure-CLIP

  [Paper][AAAI2024]Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations

  Language:Python1044212

• abhika-m/FAVA

  Language:Python51331

• Nanami18/Snowballed_Hallucination

  44204

• imran3180/pytorch-nli

  pytorch implementation of various models for snli and mnli task

  Language:Python34235

• MortalreminderPT/edit-xlsx

  A quick and easy-to-use Rust library for Excel file editing.

  Language:Rust201214

• IAAR-Shanghai/UHGEval-dataset

  The full pipeline of creating UHGEval hallucination dataset

  Language:Python8100

• Ybakman/LLM_Uncertainty

  Language:Python6100

• xBeho1der/Bouncing_into_Chaos

  Language:Python3100

• Ki-Seki/who-to-follow

  Who are the people/organizations I should be following in the field of large language models? | 在大语言模型领域，应该关注哪些人/组织？

  1100