Density-functional toolkit

A side project on the book "Introduction to Mathematical Analysis"

📔 This repository is for storing my Higher Mathematics learning journey

Particle methods for 1D conservation laws

Mathematical Analysis, Calculus

A library for discrete-time Markov chains analysis.

Requirements: Safari Webkit 17.1 (⥣) | Analysis in MathML© Foundations in Mathematical Analysis | Watters Research and Technologies® | MIT License | BSD (C4)-License | Analogue: UCB Math 104: Introductory Analysis

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

VV186-TA work, all RC slides here!

This project provides a mathematical and numerical analysis of road traffic from a microscopic perspective, aiming to explore the individual dynamics of vehicles as well as traffic jams.

A self-taught project about Machine Learning & Deep Learning with Python. Thanks to the countless researchers and developers around the world and their open-source code, particularly Python-based open-source code!

This project is a work requested for the discipline of Algorithm Analysis (Mathematical Analysis) taught in the Bachelor's Degree in Information Systems at UFPA.

This repo is tutorial for exploring various algorithms for Multi-output prediction in ML and DL using a regressor data and understanding them how mathematically they work.

Adaptación al Juego de la Vida de John Conway para un tablero 30x30

Лабораторные работы по курсу учебной дисциплины «Системы аналитических вычислений»

Tool for authenticating messages with Message Authentication Codes (MACs)

Labs, control works and other materials that were created during university studies

Unofficial solutions to the text, "Understanding Analysis" by Stephen Abbott. I started writing these solutions, when I was self-studying and taking a first course in real analysis.

The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI