stenczelt Goto Github PK
Name: Tamas Stenczel
Type: User
Bio: Research Collaborator in Machine Learning modelling of materials @ University of Cambridge
Location: Cambridge, UK
Name: Tamas Stenczel
Type: User
Bio: Research Collaborator in Machine Learning modelling of materials @ University of Cambridge
Location: Cambridge, UK
Fork of P-ACE
Testing GH Actions on a public repo
Automated reaction discovery and dataset generation with the growing string method
Atomistica is a library of interatomic potentials that is compatible with ASE and LAMMPS
Accompanying data for manuscript: "Machine-learned acceleration for molecular dynamics in CASTEP"
Open-source bioinformatics components for Dash
A python script to plot an energy level diagram from an input file.
Extended XYZ specification and parsers
A python script to generate dependencies for Fortran projects
Geometry optimization code that includes the TRIC coordinate system
A small packaged used to visualize gradient descent of test functions.
Contains build scripts and instructions for software on a variety of UK HPC resources
Public development project of the LAMMPS MD software package
MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.
Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Nanoreactor analysis codes (not yet released)
Interpolator for generating smooth paths from an ab-intio MD trajectory for NEB calculations.
Tools for implementing and consuming OPTIMADE APIs in Python
Langevin equation optimization via Likelihood maximization
documentation for PKP lego course
Public version of PolyChord: See polychord.co.uk for PolyChordPro
Thermal and photochemical reaction path optimization and discovery
A wrapper for ASE's nudged elastic band method (NEB), including I/O parsers for CASTEP, generating all images in successive bands from two initial pairs of .cell and .param files. Ideal for large configurations where running independant single point calculations is desired.
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.