L

Large Language Models

mlx-vlm

https://github.com/Blaizzy/mlx-vlm MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers https://github.com/huggingface/transformers

🔧🔗https://github.com/langfuse/langfuse-docs 🪢 Langfuse documentation -- Langfuse is the open source LLM Engineering Platform. Observability, evals, prompt management, playground and metrics to debug and

🔧🔗https://github.com/mem0ai/mem0 Memory for AI Agents; SOTA in AI Agent Memory; Announcing OpenMemory MCP - local and secure memory management.

🔧🔗https://github.com/vllm-project/vllm

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

🔧🔗https://github.com/NirDiamant/GenAI_Agents

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

🔧🔗https://github.com/BerriAI/litellm

Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq] 🕸️🔗docs.litellm.ai/docs/

🔧🔗https://github.com/langfuse/langfuse 🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, L

🔧🔗https://github.com/vllm-project/vllm-ascend Community maintained hardware plugin for vLLM on Ascend

🔧🔗https://github.com/All-Hands-AI/OpenHands

🙌 OpenHands: Code Less, Make More

🔧🔗https://github.com/HKUDS/LightRAG

"LightRAG: Simple and Fast Retrieval-Augmented Generation"

gai

🔧🔗https://github.com/maragudk/gai Go Artificial Intelligence (GAI) helps you work with foundational models, large language models, and other AI models.

🔧🔗https://github.com/modelscope/data-juicer Making data higher-quality, juicier, and more digestible for foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷为大模型提供更高质量、更丰富、更易”消化“的数据！

🔧🔗https://github.com/bytedance/deer-flow DeerFlow is a community-driven framework for Deep Research, combining language models with tools like web search, crawling, and Python execution, while contributing back to the open-source community.

https://github.com/InternLM/lmdeploy LMDeploy is a toolkit for compressing, deploying, and serving LLMs. 🔗 lmdeploy.readthedocs.io/en/latest/

🔧🔗https://github.com/modelscope/ms-swift

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) Use PEFT or Full-parameter to finetune 400+ LLMs or 100+ MLLMs.

🔧🔗https://github.com/gpustack/gpustack

Manage GPU clusters for running LLMs

https://github.com/joaomdmoura/crewAI Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

crewai.com

🔧🔗https://github.com/modelscope/evalscope A streamlined and customizable framework for efficient large model evaluation and performance benchmarking

🔧🔗https://github.com/flashinfer-ai/flashinfer

FlashInfer: Kernel Library for LLM Serving

🕸️🔗flashinfer.ai