Popular GitHub Repositories for Llms Reasoning

Elixir implementation of a LangChain style framework that lets Elixir projects integrate with and leverage LLMs.

21 Lessons, Get Started Building with Generative AI ? https://microsoft.github.io/generative-ai-for-beginners/

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

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

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

Learn how to design, develop, deploy and iterate on production-grade ML applications.

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

AI's query engine - Platform for building AI that can learn and answer questions over large scale federated data.

Self-hosted AI coding assistant

Agno is a lightweight library for building Multimodal Agents. It exposes LLMs as a unified API and gives them superpowers like memory, knowledge, tools and reasoning.

? 1Panel offers an intuitive web interface for managing websites, files, containers, databases and LLMs within a Linux server.

Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling

FastGPT is a knowledge-based platform built on the LLMs, offers a comprehensive suite of out-of-the-box capabilities such as data processing, RAG retrieval, and visual AI workflow orchestration, letting you easily develop and deploy complex question-answering systems without the need for extensive setup or configuration.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

An open-source RAG-based tool for chatting with your documents.

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.