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

Comprehensive Python Cheatsheet

A collection of libraries to optimise AI model performances

A resource for learning about Machine learning & Deep Learning

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

My own leetcode solutions by python

Python Basics ( v3.x )

Extensible, parallel implementations of t-SNE

Multi-class confusion matrix library in Python

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

🎓Leetcode solutions in Python 📚

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

Collection of Algorithms implemented in Python

Algorithms for computations on random manifolds made easier

Image Captioning using CNN and Transformer.

Kernel Fisher Discriminant Analysis implementation following https://arxiv.org/abs/1906.09436

A python implementation of Maximum Variance Unfolding using CVXPY, Numpy, Scipy, and SK-Learn.