danielkelshaw / ConcreteDropout
PyTorch implementation of 'Concrete Dropout'
☆15Updated last year
Alternatives and similar repositories for ConcreteDropout:
Users that are interested in ConcreteDropout are comparing it to the libraries listed below
- ☆150Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated last month
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 3 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆45Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated last year
- Vector Quantile Regression☆19Updated last year
- ☆30Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆102Updated last year
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆88Updated 10 months ago
- ☆22Updated 11 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Bayesian optimization with conformal coverage guarantees☆27Updated 2 years ago
- Bayesian active learning with EPIG data acquisition☆28Updated last month
- ☆49Updated 2 years ago
- Implementation of normalizing flows from 1d to Nd☆32Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Normalizing Flows using JAX☆83Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆75Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆26Updated last year
- Regression datasets from the UCI repository with standardized test-train splits.☆44Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- ☆36Updated 2 years ago