Huziel E. Sauceda's Projects
Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"
Deep learning quantum Monte Carlo for electrons in real space
i-PI: a universal force engine
Creates 3dlut via an image
Ab initio polariton dynamics with the mix-quantum-classical methods
Code Repository for Liquid Time-Constant Networks (LTCs)
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Repo for obtaining qmc level force from neural network model
Build neural networks for machine learning force fields with JAX
Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python
Python Piano code as well as accompanying font and sound assets
sGDML - Reference implementation of the Symmetric Gradient Domain Machine Learning model
Vector Field K-Means Implementation