MachineLearningLifeScience / stochmanLinks
Algorithms for computations on random manifolds made easier
☆94Updated 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.☆78Updated 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
- Normalizing Flows using JAX☆85Updated last year
- A library for programmatically generating equivariant layers through constraint solving☆277Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆121Updated 2 years ago
- Sketched linear operations for PyTorch☆92Updated this week
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 3 years ago
- Riemannian Optimization Using JAX☆53Updated last year
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆284Updated 3 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆145Updated 4 months ago
- Source code for Large-Scale Wasserstein Gradient Flows (NeurIPS 2021)☆38Updated 3 years ago
- ☆37Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Mutual information estimators and benchmark☆53Updated last month
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- ☆51Updated 2 years ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated 2 months ago
- ☆214Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 3 weeks ago
- Code for efficiently sampling functions from GP(flow) posteriors☆73Updated 4 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- ☆273Updated 2 years ago
- Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces☆199Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆31Updated 2 years ago