izmailovpavel / neurips_bdl_starter_kitLinks
☆18Updated 2 years ago
Alternatives and similar repositories for neurips_bdl_starter_kit
Users that are interested in neurips_bdl_starter_kit are comparing it to the libraries listed below
Sorting:
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- ☆54Updated last year
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control☆73Updated last year
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Last-layer Laplace approximation code examples☆83Updated 4 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)☆48Updated 4 years ago
- Collection of snippets for PyTorch users☆25Updated 3 years ago
- A Machine Learning workflow for Slurm.☆151Updated 5 years ago
- ☆100Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Updated 3 years ago
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- ☆251Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆150Updated last month
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago