Get started using GitHub in less than an hour.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

This Repository is a practical summary of Git and GitHub, mainly designed for beginners

Markdown Cheatsheet for Github Readme.md

Collection of Algorithms implemented in Python

A resource for learning about Machine learning & Deep Learning

Comprehensive Python Cheatsheet

The user analytics platform for LLMs

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Multi-class confusion matrix library in Python

Riemannian stochastic optimization algorithms: Version 1.0.3

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

Manopt, a Matlab toolbox for optimization on manifolds

This repository is to prepare for Machine Learning interviews.

Python Basics ( v3.x )

My own leetcode solutions by python

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

🎓 Sharing machine learning course / lecture notes.

🧮 A collection of resources to learn mathematics for machine learning

🎓Leetcode solutions in Python 📚

📺 Discover the latest machine learning / AI courses on YouTube.

List of Computer Science courses with video lectures.

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

Algorithms for computations on random manifolds made easier

Image Captioning using CNN and Transformer.

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.