Best Open Source ml Libraries
A curated list of the most popular GitHub repositories tagged with ml. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
#2microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
#3Asabeneh/30-Days-Of-Python
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
#4ultralytics/yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
#5lutzroeder/netron
Visualizer for neural network, deep learning and machine learning models
#6ageron/handson-ml
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
#7mlflow/mlflow
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.
#8screenpipe/screenpipe
screenpipe turns your computer into a personal AI that knows everything you've done. record. search. automate. all local, all private, all yours.
#9kubeflow/kubeflow
Machine Learning Toolkit for Kubernetes
#10Netflix/metaflow
Build, Manage and Deploy AI/ML Systems
#11pycaret/pycaret
An open-source, low-code machine learning library in Python
#12Oneflow-Inc/oneflow
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
#13dotnet/machinelearning
ML.NET is an open source and cross-platform machine learning framework for .NET.
#14Stability-AI/StableStudio
Community interface for generative AI
#15activeloopai/deeplake
the GPU-native, sandboxed Postgres for AI agents
#16speedyapply/2026-AI-College-Jobs
2026 AI/ML internship & new graduate job list updated daily
#17deepjavalibrary/djl
An Engine-Agnostic Deep Learning Framework in Java
#18pixeltable/pixeltable
Data Infrastructure providing a declarative, incremental approach for multimodal AI workloads.
#19zinggAI/zingg
Scalable identity resolution, entity resolution, data mastering and deduplication using ML
#20greyhaven-ai/autocontext
a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task
#21ROCm/iris
AMD RAD's multi-GPU Triton-based framework for seamless multi-GPU programming
#22flyteorg/flyte-sdk
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference — in pure Python with async/await.