MachineLearningLifeScience / stochmanLinks
Algorithms for computations on random manifolds made easier
☆91Updated 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"☆170Updated 3 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Normalizing Flows using JAX☆83Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A library for programmatically generating equivariant layers through constraint solving☆268Updated 2 years ago
- Sketched matrix decompositions for PyTorch☆70Updated last week
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆51Updated 3 years ago
- ☆38Updated 5 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆40Updated 2 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆129Updated last month
- Agustinus' very opiniated publication-ready plotting library☆67Updated 2 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last month
- Bayesian active learning with EPIG data acquisition☆32Updated 2 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- ☆52Updated 2 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- ☆54Updated 11 months ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆103Updated last year
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆30Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago