Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations…
☆38Apr 25, 2026Updated 2 months ago
Alternatives and similar repositories for gd-vae
Users that are interested in gd-vae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆28Nov 14, 2025Updated 7 months ago
- ☆19Mar 31, 2024Updated 2 years ago
- Extend Differential Dynamic Programming (DDP) to be applicable to hybrid systems of fixed sequence and timings. Examples including an app…☆14Jun 23, 2023Updated 3 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Oct 28, 2021Updated 4 years ago
- An implementation of Denoising Variational AutoEncoder with Topological loss☆31Dec 6, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official repository for the paper: "Trees with Attention for Set Prediction Tasks" (ICML21)☆10Jan 19, 2022Updated 4 years ago
- A flexible framework for connecting legged robots, input devices, and control algorithms.☆37Jun 26, 2026Updated last week
- [TMLR 2026 J2C Certification] Previously at GenBio ICML 2025☆22Apr 28, 2026Updated 2 months ago
- Implementations of the renormalization group-based diffusion model (RGDM).☆15Mar 10, 2025Updated last year
- ☆13Feb 16, 2021Updated 5 years ago
- Python script solving the Burgers' equation (équation de Burgers) 1D by using FFT pseudo-spectral method.☆31Jul 25, 2021Updated 4 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆16Oct 12, 2022Updated 3 years ago
- A topological machine learning framework based on PyTorch☆212Feb 11, 2026Updated 4 months ago
- Manifold Learning by Mixture Models of VAEs for Inverse Problems☆19Sep 20, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Tool for exporting training sessions from Polar Flow.☆12May 29, 2023Updated 3 years ago
- ☆45Oct 30, 2022Updated 3 years ago
- Learning Dynamical Systems that Generalize Across Environments☆20Feb 10, 2022Updated 4 years ago
- C++ implementation of the Diffusion Map, with Python bindings☆10Aug 22, 2017Updated 8 years ago
- pynapple collaborative data analysis (high level python scripts)☆39Dec 4, 2025Updated 7 months ago
- ☆14Nov 26, 2022Updated 3 years ago
- ☆14Nov 13, 2020Updated 5 years ago
- This code demonstrates a multi-branch deep neural network approach to tackling the problem of multivariate temporal sequence prediction b…☆14Sep 28, 2020Updated 5 years ago
- Parallel random matrix tools and complexity for deep learning☆33Mar 20, 2026Updated 3 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.☆14Aug 20, 2024Updated last year
- ☆16Aug 7, 2023Updated 2 years ago
- Markov-Switching State-Space Models☆15Jun 8, 2023Updated 3 years ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Oct 4, 2021Updated 4 years ago
- This is the code related to the article 'Intrinsic persistent homology via density-based metric learning'☆10May 8, 2023Updated 3 years ago
- ☆38Aug 12, 2025Updated 10 months ago
- ☆31Jun 23, 2026Updated 2 weeks ago
- Geometric Neural Operators (GNPs) package for machine learning tasks on point-clouds. Includes curvature estimation, shape deformations, …☆51Jun 18, 2026Updated 3 weeks ago
- ☆19Jan 9, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A MuJoCo-based simulator for soil digging using an excavator☆19Jan 3, 2024Updated 2 years ago
- ☆20Apr 26, 2024Updated 2 years ago
- Code for SGP 2025 Graduate School tutorial "Deep Learning on Meshes and Point Clouds"☆39May 2, 2026Updated 2 months ago
- compare different algorithm☆18Apr 30, 2023Updated 3 years ago
- Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)☆43Aug 25, 2023Updated 2 years ago
- Learning globally stable dynamical systems policies through imitation. A modification of the original work, focussing on waypoint-based i…☆14Oct 12, 2024Updated last year
- ☆34Aug 30, 2022Updated 3 years ago