Experiments for Meta-Learning Symmetries by Reparameterization
☆58Apr 11, 2021Updated 5 years ago
Alternatives and similar repositories for metalearning-symmetries
Users that are interested in metalearning-symmetries are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- JAX implementation of Graph Attention Networks☆13Jan 29, 2022Updated 4 years ago
- Experiments for the AISTATS publication on Reparameterizing Distributions over Lie Groups☆55Jul 20, 2022Updated 4 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Dec 8, 2022Updated 3 years ago
- Config files for my GitHub profile.☆25Mar 23, 2025Updated last year
- Lie Algebra Convolutional Network implementation☆44Dec 7, 2021Updated 4 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆15Dec 2, 2019Updated 6 years ago
- MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".☆18Jun 12, 2023Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Oct 7, 2022Updated 3 years ago
- [ECCV'24 Oral] Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild☆13Mar 13, 2025Updated last year
- ☆277Apr 27, 2023Updated 3 years ago
- Expressive Sign Equivariant Networks for Spectral Geometric Learning☆17Jan 25, 2024Updated 2 years ago
- ☆14Mar 2, 2023Updated 3 years ago
- Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"☆81Mar 4, 2022Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆288May 8, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Official code repository of paper Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency.☆20Jan 18, 2025Updated last year
- Tools for building equivariant polynomials on reductive Lie groups.☆38Jun 29, 2023Updated 3 years ago
- Code of "Deep invariant networks with differentiable augmentation layers"☆18Oct 26, 2022Updated 3 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆22Nov 16, 2022Updated 3 years ago
- ☆78Apr 6, 2021Updated 5 years ago
- SetToGraph paper repository☆22Sep 27, 2020Updated 5 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Nov 28, 2022Updated 3 years ago
- Macros to define custom adjoints for TensorOperations.jl☆14Aug 17, 2021Updated 5 years ago
- ☆39May 23, 2025Updated last year
- 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.
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆33Mar 9, 2020Updated 6 years ago
- Code for "MetaFun: Meta-Learning with Iterative Functional Updates"☆14Aug 27, 2020Updated 6 years ago
- Variational Dropout Sparsifies Deep Neural Networks (Molchanov et al. 2017) by Chainer☆18Jun 22, 2017Updated 9 years ago
- Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.☆24Jun 23, 2020Updated 6 years ago
- ☆12Sep 26, 2019Updated 6 years ago
- A tool for weighted model counting through tensor network contraction☆21Nov 13, 2021Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆74May 1, 2023Updated 3 years ago
- This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…☆83Dec 5, 2023Updated 2 years ago
- Implementation of various equivariant models in JAX☆18Apr 12, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆128Jul 6, 2023Updated 3 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Dec 5, 2021Updated 4 years ago
- "Stochasticity in Neural ODEs: An Empirical Study". Experiments from the paper☆13Apr 27, 2020Updated 6 years ago
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Jun 20, 2018Updated 8 years ago
- Batched routines (BLAS, LAPACK, etc.) for multi-dimensional arrays☆12Apr 10, 2022Updated 4 years ago
- A study of ecosystem in Julia, as an alternative to Matlab☆11Jul 2, 2020Updated 6 years ago
- Canonical normalizing flows☆10Apr 30, 2019Updated 7 years ago