MachineLearningLifeScience / stochmanLinks
Algorithms for computations on random manifolds made easier
☆94Updated 2 years ago
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"☆171Updated 3 years ago
- A library for programmatically generating equivariant layers through constraint solving☆281Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆124Updated 2 years ago
- Sketched linear operations for PyTorch☆100Updated 2 months ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆54Updated 3 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Normalizing Flows using JAX☆85Updated 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☆74Updated 5 years ago
- Riemannian Optimization Using JAX☆53Updated 2 years ago
- ☆37Updated 5 years ago
- Mutual information estimators and benchmark☆55Updated 3 months ago
- Differentiable and numerically stable implementation of the matrix exponential☆33Updated 5 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆61Updated last month
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆25Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆150Updated last month
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆287Updated 4 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆32Updated 2 years ago
- A Machine Learning workflow for Slurm.☆151Updated 5 years ago
- Support material for MAT6115, Université de Montréal, Fall 2018☆28Updated last year
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- ☆214Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆51Updated 4 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year