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Awesome List
A curated list of awesome LLM frameworks, libraries and software.
GitHub stars and default-branch commits for uhub/awesome-llm.
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Promote a GitHub repo at the top of Awesome repository list views for 7 days.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.
Build, Manage and Deploy AI/ML Systems
Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.
The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.
🐢 Open-Source Evaluation & Testing library for LLM Agents
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
🤖Self-Modifying Framework from the Future 🔮 World's First AMS
📊 llm.report is an open-source logging and analytics platform for OpenAI: Log your ChatGPT API requests, analyze costs, and improve your prompts.
Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes
The Machine Learning project including ML/DL projects, notebooks, cheat codes of ML/DL, useful information on AI/AGI and codes or snippets/scripts/tasks with tips.