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Name: Johannes Wasmer
Type: User
Company: Forschungszentrum Jülich
Bio: ML-DFT, open science
Twitter: JohannesWasmer
Location: Jülich, Germany
Name: Johannes Wasmer
Type: User
Company: Forschungszentrum Jülich
Bio: ML-DFT, open science
Twitter: JohannesWasmer
Location: Jülich, Germany
Carpentries Instructor training March 5, workshop page creation example
short presentation about myself
Code for Kazeev, N., Al-Maeeni, A.R., Romanov, I. et al. Sparse representation for machine learning the properties of defects in 2D materials. npj Comput Mater 9, 113 (2023).
Higher-order equivariant neural networks for charge density prediction in materials
Curated list of LaTeX awesomeness
ML benchmarking and pipeling framework
🏆 Generates a ranked list of awesome libraries and tools.
🔄 GitHub Action to update a best-of list.
Things that you should (and should not) do in your Materials Informatics research.
Tutorial files to work with ML for the charge density in molecules and solids
This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.
Notebooks accompanying the paper on GPR in materials and molecules in Chemical Reviews 2020
clasp Common Lisp environment
https://enccs.github.io/Containers/
Fork of JSC course Getting Started with AI on Supercomputers, 2023, 4th run
Interactive session to implement deep learning methods in python using TensorFlow for the REST GDR Machine Learning Discussion Meeting.
New version of dft-book for Quantum Espresso
This repository contains data science educational materials developed by DSECOP Fellows.
Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
Generate and predict molecular electron densities with Euclidean Neural Networks
An opinionated cookiecutter template to kickstart a modern best-practice Python project with FAIR metadata.
An introductory 101 series to get to know the power of Julialang
The best collection of AI tutorials to make you a boss of Data Science!
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Workshop lesson material for the GNN and Transformers workshop
Repository for labs
Grad-DFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.