MachineLearningLifeScience / stochmanLinks
Algorithms for computations on random manifolds made easier
☆92Updated last year
Alternatives and similar repositories for stochman
Users that are interested in stochman are comparing it to the libraries listed below
Sorting:
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆137Updated 2 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆272Updated 2 years ago
- Riemannian Optimization Using JAX☆52Updated last year
- Mutual information estimators and benchmark☆51Updated 7 months ago
- Normalizing Flows using JAX☆84Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated 2 weeks ago
- ☆38Updated 5 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆34Updated 3 years ago
- ☆52Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Sketched matrix decompositions for PyTorch☆70Updated 2 weeks ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 4 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆282Updated 3 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 5 months ago
- ☆274Updated 2 years ago
- ☆54Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago