All repos — GH Trending Explorer

HandsOnLLM / Hands-On-Large-Language-Models

Official code repo for the O'Reilly Book - "Hands-On Large Language Models"

langflow-ai / langflow

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

rasbt / LLMs-from-scratch

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

hiyouga / LlamaFactory

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

bojieli / ai-agent-book

《深入理解 AI Agent：设计原理与工程实践》（李博杰著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

ray-project / ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

HKUDS / LightRAG

[EMNLP2025] LightRAG: Simple and Fast Retrieval-Augmented Generation

google / langextract

A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.

langfuse / langfuse

🪢 Open source agent evals & observability: Trace, evaluate, and improve LLM applications with one open platform.

agentscope-ai / agentscope

Build and run agents you can see, understand and trust.

aishwaryanr / awesome-generative-ai-guide

A one stop repository for generative AI research updates, interview resources, notebooks and much more!

deepset-ai / haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

stefan-jansen / machine-learning-for-trading

Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.

AI4Finance-Foundation / FinGPT

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

stas00 / ml-engineering

Machine Learning Engineering Open Book

NVIDIA / Megatron-LM

Ongoing research training transformer models at scale

BradyFU / Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

camel-ai / camel

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

GoogleCloudPlatform / generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

Lightning-AI / litgpt

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

neuml / txtai

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

steven2358 / awesome-generative-ai

A curated list of modern Generative Artificial Intelligence projects and services

FareedKhan-dev / train-llm-from-scratch

A straightforward method for training your LLM, from downloading data to generating text.

KalyanKS-NLP / llm-engineer-toolkit

A curated list of 120+ LLM libraries category wise.

OpenRLHF / OpenRLHF

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

WangRongsheng / awesome-LLM-resources

🧑‍🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the world's best LLM resources.

AI4Finance-Foundation / FinRobot

FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

datajuicer / data-juicer

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

Eigenwise / atomic-agents

Building AI agents, atomically

Helicone / helicone

🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓

amazon-science / chronos-forecasting

Chronos: Pretrained Models for Time Series Forecasting

fla-org / flash-linear-attention

🚀 Efficient implementations for emerging model architectures

rasbt / reasoning-from-scratch

Implement a reasoning LLM in PyTorch from scratch, step by step

camel-ai / oasis

🏝️ OASIS: Open Agent Social Interaction Simulations with One Million Agents.

WeThinkIn / AIGC-Interview-Book

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Observal / Observal

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

crmne / ruby_llm

The Ruby AI framework.

EvolvingLMMs-Lab / lmms-eval

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

open-compass / VLMEvalKit

Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks

algorithmicsuperintelligence / optillm

Optimizing inference proxy for LLMs

urchade / GLiNER

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

RUC-NLPIR / FlashRAG

⚡FlashRAG: A Python Toolkit for Efficient RAG Research (WWW2025 Resource)

zjunlp / LLMAgentPapers

Must-read Papers on LLM Agents.

swirlai / swirl-search

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

ianarawjo / ChainForge

An open-source visual programming environment for battle-testing prompts to LLMs.

bbruceyuan / Hands-On-Large-Language-Models-CN

中文翻译的 Hands-On-Large-Language-Models (hands-on-llms)，动手学习大模型

ax-llm / ax

The pretty much "official" DSPy framework for Typescript

zjunlp / EasyEdit

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

intel / neural-compressor

SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime

om-ai-lab / OmAgent

[EMNLP-2024] Build multimodal language agents for fast prototype and production

AI-Efficiency / Awesome-Model-Quantization

A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.