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.

🔧🔗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/All-Hands-AI/OpenHands

🙌 OpenHands: Code Less, Make More

🔧🔗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/containers/ramalama

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, persist, and execute on your own infrastructure. burr.dagworks.io

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/google/dotprompt Executable GenAI prompt templates

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

Manage GPU clusters for running LLMs

rust sdk

https://github.com/agentclientprotocol/rust-sdk

Rust SDK for ACP clients and agents.

python sdk

https://github.com/agentclientprotocol/python-sdk

Python SDK for ACP clients and agents.

🔧🔗https://github.com/google/ml-metrics Ml-metrics provides performant and distributed friendly ML metrics implementations.

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

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

🔧🔗https://github.com/google/adk-python An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

🔧🔗https://github.com/EleutherAI/lm-evaluation-harness A framework for few-shot evaluation of language models.

https://github.com/run-llama/llama_index LlamaIndex is a data framework for your LLM applications

https://github.com/Lightning-AI/litgpt 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale. 🔗 https://lightning.ai/

OpenLIT is an open-source LLM Observability tool built on OpenTelemetry. 📈🔥 Monitor GPU performance, LLM traces with input and output metadata, and metrics like cost, tokens, and user interactions along with complete APM for LLM Apps. 🖥️

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

🔧🔗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！