mfinzi / olive-oil-mlLinks
☆14Updated 2 years ago
Alternatives and similar repositories for olive-oil-ml
Users that are interested in olive-oil-ml are comparing it to the libraries listed below
Sorting:
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Library for normalizing flows and neural flows.☆25Updated 3 years ago
- Stochastic Normalizing Flows☆78Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- ☆28Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆127Updated 4 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆58Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for Graph Normalizing Flows.☆63Updated 6 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆122Updated 2 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆88Updated 3 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year
- Normalizing Flows using JAX☆85Updated 2 years ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- ☆52Updated 2 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 6 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 4 years ago
- Regularized Neural ODEs (RNODE)☆81Updated 4 years ago
- Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tract…☆46Updated 2 years ago
- Refining continuous-in-depth neural networks☆42Updated 4 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆60Updated last year
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 4 years ago