Popular GitHub Repositories for Ml Production

An Open Source Machine Learning Framework for Everyone

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.

YOLOv5 ? in PyTorch > ONNX > CoreML > TFLite

100 Days of ML Coding

?? - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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

Visualizer for neural network, deep learning and machine learning models

Cross-platform, customizable ML solutions for live and streaming media.

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

? A ranked list of awesome machine learning Python libraries. Updated weekly.

Open source platform for the machine learning lifecycle

Universal LLM Deployment Engine with ML Compilation

? The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Open standard for machine learning interoperability

A WebGL accelerated JavaScript library for training and deploying ML models.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.