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University College London
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- zhubonan.github.io
- @1stbz
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SchNetPack - Deep Neural Networks for Atomistic Systems
Machine Learning Interatomic Potentials with the Atomic Cluster Expansion
An efficient implementation of tree data structure in python 2/3.
Collection of tutorials to use the MACE machine learning force field.
A daemon that uses cgroups to monitor and manage user behavior on login nodes
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
Wiki.js | A modern and powerful wiki app built on Node.js
A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。
Using pre-trained M3GNet machine learning potential for random structure searching
Easily turn your Click CLI into a powerful terminal application
Some tutorial-style examples for validating machine-learned interatomic potentials
The easiest way to run WireGuard VPN + Web-based Admin UI.
An opinionated code formatter for Julia. Plot twist - the opinion is your own.
Types with default field values, keyword constructors and (un-)pack macros
py-sc-fermi is a materials modelling code for calculating self-consistent Fermi energies and defect concentrations under thermodynamic equilibrium (or quasi-equilibrium) given defect formation ener…
A web page to host CASTEP pseudopotential strings and data for all elements
Non-Negative Least Squares and Quadratic Program solver in Julia
Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
Julia language implementation of the Cell Lists algorithm to solve the fixed-radius near neighbors problem including serial and multithreaded algorithms.
Relax! Flux is the ML library that doesn't make you tensor
Forward Mode Automatic Differentiation for Julia