An Open Source Machine Learning Framework for Everyone
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Updated
Aug 26, 2022 - C++
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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
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Visualizer for neural network, deep learning, and machine learning models
Open standard for machine learning interoperability
Open source platform for the machine learning lifecycle
Machine Learning Toolkit for Kubernetes
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
In-Database Machine Learning
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
Data-centric declarative deep learning framework
A curated list of references for MLOps
Caffe2 is a lightweight, modular, and scalable deep learning framework.
ML.NET is an open source and cross-platform machine learning framework for .NET.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
An open-source, low-code machine learning library in Python
A flexible, high-performance serving system for machine learning models