Computations involving Lie groups and harmonic analysis
☆207Feb 11, 2025Updated last year
Alternatives and similar repositories for lie_learn
Users that are interested in lie_learn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- VAEs with Lie Group latent space☆98Jan 20, 2022Updated 4 years ago
- Spherical CNNs☆973Nov 11, 2024Updated last year
- Euclidean Neural Networks☆203Dec 19, 2020Updated 5 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆53Jul 20, 2022Updated 3 years ago
- ☆71Mar 25, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Wigner's 3J, 6J, 9J symbols for python☆24Jul 9, 2025Updated 9 months ago
- ☆276Apr 27, 2023Updated 3 years ago
- Demo code for the paper "Learning SO(3) Equivariant Representations with Spherical CNNs"☆307Nov 29, 2021Updated 4 years ago
- ☆66Jun 9, 2020Updated 5 years ago
- A modular framework for neural networks with Euclidean symmetry☆1,249Feb 13, 2026Updated 2 months ago
- Paper list for equivariant neural network☆1,087Aug 19, 2024Updated last year
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆25Mar 24, 2023Updated 3 years ago
- Group Equivariant Convolutional Neural Networks☆371Apr 2, 2021Updated 5 years ago
- Autoregressive model for solving statistical mechanics problems☆11Mar 19, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- A tutorial for Yao.jl☆12Oct 9, 2023Updated 2 years ago
- Steerable E(3) GNN in jax☆24Oct 1, 2023Updated 2 years ago
- E(2)-Equivariant CNNs Library for Pytorch☆674Oct 17, 2023Updated 2 years ago
- Reference implementation for "Group Equivariant Subsampling"☆16Dec 13, 2021Updated 4 years ago
- Fast Fourier transform on SO(3)☆29Dec 9, 2021Updated 4 years ago
- ☆162Jan 7, 2020Updated 6 years ago
- ☆11Feb 20, 2026Updated 2 months ago
- ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry☆11Mar 13, 2023Updated 3 years ago
- Python Binding to NVRTC☆80Oct 9, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Python package to heuristically solve optimization problems on quasi-2d lattices using approximate tensor network contractions.☆12Sep 24, 2021Updated 4 years ago
- ☆66Jun 28, 2023Updated 2 years ago
- code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503☆578Apr 3, 2026Updated 3 weeks ago
- Riemannian Convex Potential Maps☆67Mar 31, 2023Updated 3 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆97Feb 19, 2021Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Feb 3, 2020Updated 6 years ago
- ☆68Mar 25, 2019Updated 7 years ago
- Demo source code for the paper "Equivariant Multi-View Networks".☆59Feb 15, 2023Updated 3 years ago
- Codebase for Cormorant Neural Networks☆60May 11, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Quantum GAN algorithm based on MPS, realized by Julia.☆11Apr 5, 2019Updated 7 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆519Oct 31, 2024Updated last year
- Differentiable, Hardware Accelerated, Molecular Dynamics☆1,409Updated this week
- B-Spline CNNs on Lie groups☆58Jan 21, 2020Updated 6 years ago
- Learning protein structure with a differentiable simulator☆27Jul 8, 2019Updated 6 years ago
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Sep 13, 2021Updated 4 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆33Mar 9, 2020Updated 6 years ago