Awesome Opensource Ai

An Open Source Machine Learning Framework for Everyone

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

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.

Open standard for machine learning interoperability

MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.

Machine Learning Toolkit for Kubernetes

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

Low-code framework for building custom LLMs, neural networks, and other AI models

TensorZero is an open-source LLMOps platform that unifies an LLM gateway, observability, evaluation, optimization, and experimentation.

Build, Manage and Deploy AI/ML Systems

Open-source observability for your GenAI or LLM application, based on OpenTelemetry

The Open Source Feature Store for AI/ML

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark

A blazing fast inference solution for text embeddings models

An Engine-Agnostic Deep Learning Framework in Java

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Build LLM-powered applications in Ruby

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.

XAI - An eXplainability toolbox for machine learning