Animation engine for explanatory math videos

A community-maintained Python framework for creating mathematical animations.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

🖥️ Run AI Agent in your browser.

An open access book on scientific visualization using python and matplotlib

Code for the manim-generated scenes used in 3blue1brown videos

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

A library for scientific machine learning and physics-informed learning

Main repository of SageMath

Indico - A feature-rich event management system, made @ CERN, the place where the Web was born.

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

⚛️ A module for solving and visualizing the Schrödinger equation.

A tutorial for manim, a mathematical animation engine made by 3b1b

A Python package for manipulating atomistic data of software in computational science

A general-purpose programmatic animation tool

Source code for all the animations in my videos. Uses @3b1b's manim library

Basic tools and wrappers for enabling not-too-alien syntax when running columnar Collider HEP analysis.

In this repository you will find the code and files of my own animations of manim

Python code written for MIT's Machine Learning course offered on edX

physics-guided neural networks (phygnn)

My winning solution for Kaggle Higgs Machine Learning Challenge (single classifier, xgboost)

HEP statistics tools and utilities.

A Python package for flavour physics phenomenology in the Standard model and beyond

Templates, code and notes for Kirill Eremenko's Machine Learning course

Material for my lectures at the ESAC statistics conference, Oct 27-31 2014

MIT edX 6.00.2x Introduction to Computational Thinking and Data Science problem sets code

Simulations and projects in computational physics.

This project's aim is to provide a sample of my abilities in the form of a challange. The challange is to provide a solution to all exercises in the book Computational Physics by Mark Newman

Problem Set files from edX MITx 6.00.1x Introduction to Computer Science and Programming Using Python

Code to compute exact two- and three-neutrino oscillation probabilities using SU(2) and SU(3) expansions