Materials Libraries

First semester of girafe-ai Machine Learning course Special thanks to:

This course aims to introduce students to modern state of Machine Learning andArtificial Intelligence. It is designed to take one year (two terms at MIPT) -approximately 2 * 15 lectures and seminars.…

DScribe is a Python package for transforming atomic structures into fixed-size numerical fingerprints. These fingerprints are often called "descriptors" and they can be used in various tasks, includi…

maml (MAterials Machine Learning) is a Python package that aims to provide useful high-level interfaces that make ML for materials science as easy as possible. a) Bispectrum coefficients b) Behler Pa…

This is a repository of my presentations on several Python topics in local meetups. Topics include:

The book demonstrates how Python can be used to study cultural materials such as song lyrics, short stories, newspaper articles, tweets, Reddit posts, and film screenplays. It also introduces computa…

PoreSpy offers several ways to generate artificial images, for quick testing and developmnet of work flows, instead of dealing with reading/writing/storing of large tomograms. A common filter to appl…

The material will develop between April and July 2023. The materials from former years are linked below. This course explains everything in very detail. Every lesson ends with an exercise and it is r…

Presentation Material and Sample Code from the Blockchain and Machine Learning Workshop at START Summit 2017 in Switzerland The purpose of this code is to demonstrate in a simple example, how to brin…

An environment for atomistic machine learning in Python for applications in catalysis. Utilities for building and testing atomic machine learning models. Gaussian Processes (GP) regression machine le…