An Open Source Machine Learning Framework for Everyone
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Updated
Jun 13, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
An Open Source Machine Learning Framework for Everyone
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Open source platform for the machine learning lifecycle
Open standard for machine learning interoperability
The platform for customizing AI from enterprise data
Visualizer for neural network, deep learning and machine learning models
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Machine Learning Toolkit for Kubernetes
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A flexible, high-performance serving system for machine learning models
Caffe2 is a lightweight, modular, and scalable deep learning framework.
ML.NET is an open source and cross-platform machine learning framework for .NET.
A curated list of references for MLOps
An open-source, low-code machine learning library in Python
A library for transfer learning by reusing parts of TensorFlow models.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.