Python Data Science Handbook: full text in Jupyter Notebooks

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

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A collection of various deep learning architectures, models, and tips

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

Best Practices, code samples, and documentation for Computer Vision.

Deep Learning Specialization by Andrew Ng on Coursera.

A complete course for learning Bitcoin programming and usage from the command

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencode…

Simple tutorials using Keras Framework

The Deep Learning guts that you're all curious about

It is a simple and easy-to-use project which censors multiple faces, if they exist, for given image input, video, or streaming video from your webcam. This tiny notebook uses MediaPipe, a customiza…