danielkelshaw / ConcreteDropoutLinks
PyTorch implementation of 'Concrete Dropout'
☆20Updated 2 years ago
Alternatives and similar repositories for ConcreteDropout
Users that are interested in ConcreteDropout are comparing it to the libraries listed below
Sorting:
- A library for uncertainty quantification based on PyTorch☆121Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- ☆155Updated 3 years ago
- ☆28Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆59Updated 4 years ago
- ☆52Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆151Updated 2 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆99Updated last week
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 3 months ago
- ☆60Updated 9 months ago
- [NeurIPS 2020] Task-Agnostic Amortized Inference of Gaussian Process Hyperparameters (AHGP)☆23Updated 5 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆53Updated 2 months ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Vector Quantile Regression☆19Updated 9 months ago
- "How to Trust Your Diffusion Models: A Convex Optimization Approach to Conformal Risk Control"☆18Updated 2 weeks ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆74Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 4 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆44Updated last year
- Perceiver (transformer variant) implemented in JAX and Flax☆13Updated 4 years ago