Chen-Cai-OSU / awesome-equivariant-networkLinks
Paper list for equivariant neural network
☆1,063Updated last year
Alternatives and similar repositories for awesome-equivariant-network
Users that are interested in awesome-equivariant-network are comparing it to the libraries listed below
Sorting:
- A modular framework for neural networks with Euclidean symmetry☆1,169Updated 3 weeks ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆475Updated last year
- E(2)-Equivariant CNNs Library for Pytorch☆656Updated 2 years ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆547Updated 2 years ago
- Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch☆505Updated 10 months ago
- ☆506Updated 3 years ago
- A library for programmatically generating equivariant layers through constraint solving☆277Updated 2 years ago
- ☆273Updated 2 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆997Updated 2 months ago
- Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML …☆508Updated 3 weeks ago
- Pytorch implementation of set transformer☆631Updated 5 years ago
- Euclidean Neural Networks☆201Updated 4 years ago
- Constrained optimization toolkit for PyTorch☆700Updated 3 months ago
- ☆160Updated 5 years ago
- Implementation of SE3-Transformers for Equivariant Self-Attention, in Pytorch. This specific repository is geared towards integration wit…☆309Updated 2 months ago
- Generative Flow Networks☆658Updated 2 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,138Updated 2 weeks ago
- DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Awa…☆340Updated 2 years ago
- ☆536Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,534Updated last year
- A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical…☆1,486Updated last year
- Graph Neural PDEs☆335Updated 3 years ago
- A Graph Neural Network Library in Jax☆1,451Updated last year
- Vector Neurons: A General Framework for SO(3)-Equivariant Networks☆504Updated 2 years ago
- Awesome resources on normalizing flows.☆1,577Updated 3 months ago
- A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch☆415Updated last year
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,315Updated this week
- Artificial Intelligence Research for Science (AIRS)☆699Updated last week
- [ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs☆257Updated 8 months ago
- A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond☆1,026Updated 8 months ago