run1999

run1999's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python170k44.8k

• reworkd/AgentGPT

  🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

  Language:TypeScript32.4k9.3k

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

  Instruction Tuning with GPT-4

  Language:HTML4.3k301

• AI4Finance-Foundation/FinGPT

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

  Language:Jupyter Notebook14.6k2k

• lightvector/KataGo

  GTP engine and self-play learning in Go

  Language:C++3.7k572

• OpenBMB/BMTools

  Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

  Language:Python2.9k274

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python66.9k8.2k

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  53.7k13.6k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

  Language:HTML117k15.9k

• trigaten/Learn_Prompting

  Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

  Language:MDX4.3k642

• togethercomputer/OpenChatKit

  Language:Python9k1k

• chenfei-wu/TaskMatrix

  Language:Python34.5k3.3k

• circlestarzero/EX-chatGPT

  Let ChatGPT truly learn how to go online and call APIs! 'EX-ChatGPT' can rival and even surpass NewBing

  Language:Python2k329

• 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:Python18.7k1.9k

• jeykigung/P5

  Language:Python31945

• OhadRubin/EPR

  Language:Python605

• meta-llama/llama

  Inference code for Llama models

  Language:Python57.2k9.7k

• matt-seb-ho/WikiWhy

  WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000+ "why" question-answer-rationale triplets.

  Language:Python471

• pengbaolin/LLM-Augmenter

  44417

• OpenBMB/ModelCenter

  Efficient, Low-Resource, Distributed transformer implementation based on BMTrain

  Language:Python24429

• sec-an/Better-Auto-XXQG

  学习强国 基于Auto.js实现的学习助手 免root 适配安卓 自动化脚本 热更新

  Language:JavaScript704202

• adang1345/PythonWin7

  Python 3.9+ installers that support Windows 7 SP1 and Windows Server 2008 R2 SP1

  63074

• OpenBMB/BMTrain

  Efficient Training (including pre-training and fine-tuning) for Big Models

  Language:Python57577

• McGill-NLP/polytropon

  Language:Python527

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.8k6.4k

• kernelmachine/demix

  DEMix Layers for Modular Language Modeling

  Language:Python533

• gedoor/legado

  Legado 3.0 Book Reader with powerful controls & full functions❤️阅读3.0, 阅读是一款可以自定义来源阅读网络内容的工具，为广大网络文学爱好者提供一种方便、快捷舒适的试读体验。

  Language:Kotlin31.6k4.1k

• machelreid/m2d2

  M2D2: A Massively Multi-domain Language Modeling Dataset (EMNLP 2022) by Machel Reid, Victor Zhong, Suchin Gururangan, Luke Zettlemoyer

  Language:Python553

• thunlp/OpenDelta

  A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

  Language:Python1k82

• HFAiLab/ffrecord

  FireFlyer Record file format, writer and reader for DL training samples.

  Language:Python1217