Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

MONAI Tutorials

The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.

A one-stop repository for low-code easily-installable object detection pipelines.

Code Files for the Udemy Course: The Complete Neural Networks Bootcamp: Theory, Applications

Hands-On Computer Vision with OpenCV 4, Keras, and TensorFlow 2 [Video], published by Packt

Transformer implementation from scratch (in PyTorch)

Predicting loan defaulters using multiple Machine Learning models

This project involves binary classification of movie reviews as either positive or negative

My Lesson Notes on Python Programming

The project tries to predict median house prices for Boston using available data.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Predicting hapiness using a number of factors

Predicting median house prices in California districts using multiple Linear Regression models.

This project classifies handwritten digits using data from the MNIST dataset