Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Released model weights, reference implementations and architecture research.
Signals: large-language-models, llm, foundation-models, transformer, gpt, llama, mistral, qwen
1,455 results
VisionLLM Series
Easy token price estimates for 400+ LLMs. TokenOps.
Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard for easier LLM ingestion
Lightweight library for scraping web-sites with LLMs
Completely free, private, UI based Tech Documentation MCP server. Designed for coders and software developers in mind. Easily integrate into Cursor, Windsurf, Cline, Roo Code, Claude Desktop App
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
Seamlessly integrate LLMs as Python functions
[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering
Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)
Conquer Any Code in VSCode: One-Click Comments, Conversions, UI-to-Code, and AI Batch Processing of Files! 在 VSCode 中征服任何代码：一键注释、转换、UI 图生成代码、AI 批量处理文件！💪
Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"
Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community
使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.
[NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baichuan, TinyLlama, etc.
A 4-hour coding workshop to understand how LLMs are implemented and used
PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538
🩹Editing large language models within 10 seconds⚡
Simple UI for LLM Model Finetuning
中文nlp解决方案(大模型、数据、模型、训练、推理)
Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
Run a 1-billion parameter LLM on a $10 board with 256MB RAM
Run Mixtral-8x7B models in Colab or consumer desktops
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
24,540 repositories in the index in total.
