Chen-Cai-OSU / awesome-equivariant-network
Paper list for equivariant neural network
☆1,030Updated 8 months ago
Alternatives and similar repositories for awesome-equivariant-network:
Users that are interested in awesome-equivariant-network are comparing it to the libraries listed below
- A modular framework for neural networks with Euclidean symmetry☆1,067Updated 2 weeks ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆465Updated 4 months ago
- ☆472Updated 3 years ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆516Updated last year
- ☆269Updated last year
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆421Updated 5 months ago
- E(2)-Equivariant CNNs Library for Pytorch☆639Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆267Updated last year
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,469Updated 11 months ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆498Updated 11 months ago
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,424Updated 7 months ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆319Updated last year
- Riemannian Adaptive Optimization Methods with pytorch optim☆917Updated 11 months ago
- ☆487Updated 2 years ago
- Awesome resources on normalizing flows.☆1,511Updated 2 weeks ago
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks☆486Updated 2 years ago
- Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)☆291Updated last year
- ☆157Updated 5 years ago
- Pytorch implementation of set transformer☆582Updated 5 years ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆419Updated 3 weeks ago
- Implementation of GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation (ICLR 2022).☆355Updated last year
- Constrained optimization toolkit for PyTorch☆673Updated 3 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,087Updated last week
- A powerful and flexible machine learning platform for drug discovery☆1,495Updated 8 months ago
- Euclidean Neural Networks☆194Updated 4 years ago
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆639Updated 4 years ago
- Graph Neural PDEs☆331Updated 2 years ago
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆282Updated 2 years ago
- Implementation of E(n)-Transformer, which incorporates attention mechanisms into Welling's E(n)-Equivariant Graph Neural Network☆220Updated 10 months ago
- A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆970Updated 2 months ago