fizisist / LorentzGroupNetworkLinks
Neural network architecture that is fully equivariant with respect to transformations under the Lorentz group, a fundamental symmetry of space and time in physics.
☆51Updated 3 years ago
Alternatives and similar repositories for LorentzGroupNetwork
Users that are interested in LorentzGroupNetwork are comparing it to the libraries listed below
Sorting:
- Variational Monte Carlo with generative flows for mini-BMN matrix models☆19Updated 5 years ago
- Permutation Equivariant Lorentz Invariant/Covariant Aggregator Network☆13Updated last year
- Repository for <Lorentz-Equivariant Geometric Algebra Transformers for High-Energy Physics> (J. Spinner et al 2024)☆29Updated 4 months ago
- ESI-DCAFM-TACO-VDSP Summer School on "Machine Learning for Materials Hard and Soft"☆39Updated 3 years ago
- Flexible, general-purpose VMC framework, built on JAX.☆28Updated 6 months ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆16Updated 4 years ago
- ☆22Updated 2 years ago
- DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electr…☆62Updated 6 months ago
- Code for the paper "Algorithmic Differentiation for Automatized Modelling of Machine Learned Force Fields"☆12Updated 2 years ago
- ☆53Updated 3 years ago
- ☆16Updated 3 years ago
- Wigner's 3J, 6J, 9J symbols for python☆22Updated 3 months ago
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆79Updated 6 years ago
- Arbitrary-order derivatives of popular electronic structure methods, such as Hartree-Fock and coupled cluster theory.☆69Updated last year
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆30Updated 5 years ago
- GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine l…☆107Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆35Updated 2 years ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆109Updated 6 months ago
- Forward mode laplacian implemented in JAX tracer☆29Updated last month
- Pytorch Implementation of Real Space Quantum Monte Carlo Simulations of Molecular Systems☆29Updated 5 months ago
- Steerable E(3) GNN in jax☆24Updated 2 years ago
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 8 months ago
- Monte Carlo simulation on 2D XY-model☆25Updated 6 years ago
- Differentiable Quantum Chemistry (only Differentiable Density Functional Theory and Hartree Fock at the moment)☆118Updated 3 years ago
- Reference implementation of "Ab-Initio Potential Energy Surfaces by Pairing GNNs with Neural Wave Functions" (ICLR, 2022) and "Sampling-f…☆31Updated last year
- jax library for E3 Equivariant Neural Networks☆216Updated 2 months ago
- Mathematical Introduction to Electronic Structure Theory☆47Updated 6 years ago
- Code used by the "Clifford Group Equivariant Neural Networks" paper.☆84Updated last year
- Quantum ground states from Reinforcement Learning☆16Updated 5 years ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆39Updated 7 months ago