vitalab / neuralteleportationLinks
Isomorphisms of quiver representations applied to neural networks.
☆16Updated last year
Alternatives and similar repositories for neuralteleportation
Users that are interested in neuralteleportation are comparing it to the libraries listed below
Sorting:
- ☆22Updated 3 years ago
- Examples of more involved applications using Geomstats☆33Updated 4 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆14Updated 5 years ago
- Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."☆46Updated 6 years ago
- Cyanure: An Open-Source Toolbox for Empirical Risk Minimization☆64Updated 5 months ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- ☆37Updated 3 years ago
- ☆12Updated 5 years ago
- Attempt to speed Randomized SVD(Singular Value Decomposition) Using pytorch and it's gnu capabilities.☆17Updated 7 years ago
- The Shape of Data: Intrinsic Distance for Comparing Data Distributions☆12Updated 6 years ago
- Ultrahyperbolic Representation Learning☆13Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆17Updated 5 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Large-Scale Machine and Deep Learning in PyTorch.☆21Updated 4 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆96Updated 4 years ago
- The Union of Intersections Framework in Python☆15Updated 2 weeks ago
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 4 years ago
- Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold Topology☆36Updated 4 years ago
- Easily serialize dataclasses to and from tensors (PyTorch, NumPy)☆18Updated 4 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Updated 2 years ago
- Code associated with our paper "Learning Group Structure and Disentangled Representations of Dynamical Environments"☆15Updated 2 years ago
- Quantification of Uncertainty with Adversarial Models☆29Updated 2 years ago
- Implements PyTorch model which updates SPD weights on Riemannian Manifold. Based on Huang, Z., & Van Gool, L. (2016). A Riemannian Netwo…☆12Updated 6 years ago
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- Learning platform for category theory in python☆17Updated last week
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"☆22Updated 3 years ago
- JAX implementation of Graph Attention Networks☆13Updated 3 years ago