[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
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Updated
Jun 28, 2024 - Python
[ICML 2024] Official environments and JAX-implementations for "Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments"
📐 Symmetry-corrected RMSD in Python
A code to generate atomic structure with symmetry
Geom3D: Geometric Modeling on 3D Structures, NeurIPS 2023
🔬motif-learn: machine learning in scanning transmission electron microscopy
Point symmetry analysis tool for theoretical chemistry objects
LTB-Symm is a publicly available code that does two things: large scale tight-binding (LTB) calculation of 2D materials, and checks topological symmetries (Symm) of their wave functions.
Source code for building the EncoMPASS database
Torch implementation of Marc Finzi's Equivariant MLP
[ICML 2023 Oral] Official environments and implementations for "Subequivariant Graph Reinforcement Learning in 3D Environments"
A PyTorch port of EMLP JAX library (Finzi et al. 2021)
Implement of PRS-Net: Planar Reflective Symmetry Detection Net for 3D Models
Python library to determine the point group of molecular geometries
This repository is the official implementation of Symmetry-Aware Robot Design with Structured Subgroups
A collection of MDPs with symmetries, implemented based on DeepMind Control Suite
A tool for calculating the general form of a k.p Hamiltonian with a given symmetry.
[NeurIPS 2022] The implementation for the paper "Learning Physical Dynamics with Subequivariant Graph Neural Networks".
A python package using machine learning to study symmetry.
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