An Open Source Machine Learning Framework for Everyone
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Updated
Jan 10, 2025 - 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
⛔️ 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
library & platform to build, distribute, monetize ai apps that have the full context (like rewind, granola, etc.), open source, 100% local, developer friendly. 24/7 screen, mic, keyboard recording and control
Low-code framework for building custom LLMs, neural networks, and other AI models
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
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Community interface for generative AI
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Open Source AI/ML Platform