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
- ☆156Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆44Updated 8 months ago
- A Python package for intrinsic dimension estimation☆96Updated 4 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆152Updated 2 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆100Updated last month
- Running Jax in PyTorch Lightning☆119Updated last year
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2023.☆91Updated 2 years ago
- Simple (and cheap!) neural network uncertainty estimation☆79Updated 4 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆76Updated 3 years ago
- Pytorch implementation of VAEs for heterogeneous likelihoods.☆43Updated 3 years ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆35Updated 3 years ago
- Bayesian optimization with conformal coverage guarantees☆29Updated 3 years ago
- Bayesian algorithm execution (BAX)☆55Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- This repository contains PyTorch implementations of various random feature maps for dot product kernels.☆22Updated last year
- ☆28Updated 3 years ago
- Supplementary code for the AISTATS 2021 paper "Matern Gaussian Processes on Graphs".☆54Updated 2 months ago
- Agustinus' very opiniated publication-ready plotting library☆71Updated 9 months ago
- ☆314Updated last month
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Updated 3 weeks ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago