mfinzi / olive-oil-ml
☆14Updated last year
Alternatives and similar repositories for olive-oil-ml:
Users that are interested in olive-oil-ml are comparing it to the libraries listed below
- Normalizing Flows using JAX☆82Updated last year
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last year
- Normalizing Flows with a resampled base distribution☆45Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code required to reproduce the experiments in Auxiliary Variational MCMC☆17Updated 6 years ago
- Hamiltonian Dynamics with Non-Newtonian Momentum for Rapid Sampling☆36Updated 3 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 4 years ago
- Library for normalizing flows and neural flows.☆24Updated 2 years ago
- Code for Graph Normalizing Flows.☆62Updated 5 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Refining continuous-in-depth neural networks☆39Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆27Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- ☆49Updated 2 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆19Updated 4 years ago
- Implementation of the Convolutional Conditional Neural Process☆120Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Implementation of Action Matching☆38Updated last year
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆21Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆82Updated 4 years ago
- Riemannian Convex Potential Maps☆67Updated last year
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- We got a stew going!☆27Updated last year
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago