MachineLearningLifeScience / stochman
Algorithms for computations on random manifolds made easier
☆86Updated last year
Alternatives and similar repositories for stochman:
Users that are interested in stochman are comparing it to the libraries listed below
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆115Updated last year
- ☆37Updated 4 years ago
- Normalizing Flows using JAX☆82Updated last year
- Riemannian Optimization Using JAX☆47Updated last year
- ☆53Updated 5 months ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Re-implementation of Hamiltonian Generative Networks paper☆33Updated 2 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated last year
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆40Updated last year
- Code for efficiently sampling functions from GP(flow) posteriors☆68Updated 4 years ago
- GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021☆52Updated 2 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆33Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆44Updated 4 years ago
- Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/☆29Updated last year
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 2 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆50Updated 5 months ago
- Normalizing Flows with a resampled base distribution☆44Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆93Updated 8 months ago
- ☆49Updated last year
- Squared Non-monotonic Probabilistic Circuits☆20Updated this week
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Bayesian active learning with EPIG data acquisition☆26Updated 2 weeks ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- ☆32Updated 2 years ago