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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Techniques for deep learning with satellite & aerial imagery

Fast and Accurate ML in 3 Lines of Code

A resource repository for 3D machine learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Open Machine Learning Course

Content aware image resize library

Refine high-quality datasets and visual AI models

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Open source annotation tool for machine learning practitioners.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Minimal and clean examples of machine learning algorithms implementations

Roadmap to becoming an Artificial Intelligence Expert in 2022

500 AI Machine learning Deep learning Computer vision NLP Projects with code