master / tensorflow-riemopt
A library for optimization on Riemannian manifolds
☆107Updated last year
Alternatives and similar repositories for tensorflow-riemopt:
Users that are interested in tensorflow-riemopt are comparing it to the libraries listed below
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆32Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- ☆38Updated 4 years ago
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆76Updated 8 months ago
- Riemannian Optimization Using JAX☆48Updated last year
- ☆100Updated 4 years ago
- Algorithms for computations on random manifolds made easier☆87Updated last year
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆35Updated 4 years ago
- B-Spline CNNs on Lie groups☆53Updated 5 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆54Updated 3 years ago
- A manifold optimization library for deep learning☆241Updated 3 years ago
- Optimization with orthogonal constraints and on general manifolds☆127Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- ☆262Updated last year
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- ☆45Updated last year
- ☆32Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆73Updated 7 months ago
- ☆59Updated 6 years ago
- simple MATLAB code for randomized matrix computation☆23Updated 9 years ago
- ☆53Updated 7 months ago
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Lie Algebra Convolutional Network implementation☆43Updated 3 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆112Updated last week
- Convex potential flows☆83Updated 3 years ago