admf

Automatic Differentiation Mean Field Approach

Stars

Ecosystems: Python

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A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-b...

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs....

A deep learning package for many-body potential energy representation and molecular dynamics

dev repo for tensorcircuit, dont follow beta branch as upstream since its history can be changed

Libraries for OpenSimAD - OpenSim with support for Algorithmic Differentiation

Coarse-graining library that implements Force-matching

Python implementation of solvers for differential algebraic equation's (DAE's) that should be add...

Efficient and stable Determinant Quantum Monte Carlo simulations in Python

working for Leslie

Python realisation of Casino (QMC) program