An Open Source Machine Learning Framework for Everyone
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Updated
Dec 5, 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
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
Platform for building AI that can learn and answer questions over federated data.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Open source platform for the machine learning lifecycle
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Open standard for machine learning interoperability
Machine Learning Toolkit for Kubernetes
A curated list of references for MLOps
Low-code framework for building custom LLMs, neural networks, and other AI models
one API to get all user desktop data (local, cross platform, 24/7, screen, voice, keyboard, mouse, camera recording). sandboxed js plugin system. keyboard and mouse control
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
ML.NET is an open source and cross-platform machine learning framework for .NET.
An open-source, low-code machine learning library in Python
Community interface for generative AI
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Caffe2 is a lightweight, modular, and scalable deep learning framework.