TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

The fastai book, published as Jupyter Notebooks

Learn OpenCV : C++ and Python Examples

An open-source, low-code machine learning library in Python

A collection of pre-trained, state-of-the-art models in the ONNX format

100 days of algorithms

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…

🤖⚡ 50 scikit-learn tips

pre-trained Language Models

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

Research project: create a chess engine using Deep Reinforcement Learning

Python scripts that help me be a successfull meteorologist. (Python 2) For Python 3, use: https://github.com/blaylockbk/pyBKB_v3

Python Library for working with disdrometer data.

Chess engine

Code sample for MS Learn Module Train and package an Azure machine learning module for deployment to IoT Edge device - Learn Modules at https://docs.microsoft.com/en-gb/learn/modules/train-package-…