A 3D-equivariant neural network for protein structure accuracy estimation
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Updated
Mar 11, 2023 - Shell
A 3D-equivariant neural network for protein structure accuracy estimation
The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.
An environment for running experiments with equivariant GNN architectures
A project that seeks to code ud the boardgame hive and train a neural network to play it
Neural implicit reconstruction experiments for the Vector Neuron paper
Implementing SE(3)-equivariant neural networks with Flux.jl
Tensorflow 2 / tf.keras port of keras-gcnn.
[ICLR 2021] Group Equivariant Generative Adversarial Networks.
Tensorflow 2 port of Group Equivariant Convolutional Neural Networks
PENN code for NeurIPS 2022
[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"
Official PyTorch implementation of Möbius Convolutions for Spherical CNNs [SIGGRAPH 2022].
Complex-based Ligand-Binding Proteins Redesign by Equivariant Diffusion-based Generative Models
Official implementation of the NeurIPS 23 spotlight paper of ♾️InfGCN♾️.
Dock2D: Synthetic datasets for the molecular recognition problem
ARES implement in PyTorch
FILTRA: Rethinking Steerable CNN by Filter Transform, ICML2021
[NeurIPS 2022] The implementation for the paper "Equivariant Graph Hierarchy-Based Neural Networks".
Extended DeepH (xDeepH) method for magnetic materials.
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