Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
☆248Dec 3, 2019Updated 6 years ago
Alternatives and similar repositories for dl-with-bayes
Users that are interested in dl-with-bayes are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆150Oct 1, 2023Updated 2 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Dec 19, 2018Updated 7 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆480Jul 6, 2023Updated 3 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 6 years ago
- Natural Gradient, Variational Inference☆29Jan 13, 2020Updated 6 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,583Jul 9, 2026Updated last week
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,966Oct 20, 2023Updated 2 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Apr 16, 2020Updated 6 years ago
- Official repository for the paper "Fast Predictive Uncertainty for Classification with Bayesian Deep Networks". Accepted at UAI 2022. htt…☆13May 25, 2022Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Dec 17, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆257Dec 27, 2022Updated 3 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆41Jan 4, 2022Updated 4 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆983Sep 25, 2023Updated 2 years ago
- Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"☆19Aug 27, 2022Updated 3 years ago
- A simple probabilistic programming language.☆711Jul 2, 2026Updated 2 weeks ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 5 years ago
- Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning W…☆25Jan 25, 2020Updated 6 years ago
- Normalizing Flows in Jax☆109Aug 19, 2020Updated 5 years ago
- Useful classes and functions implementation for Chainer (the deep learning framework)☆11Mar 1, 2019Updated 7 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 3 years ago
- Bayesian optimization in PyTorch☆3,573Updated this week
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆95Oct 3, 2023Updated 2 years ago
- How certain is your transformer?☆25Apr 25, 2021Updated 5 years ago
- Implementation of FixMatch in PyTorch and experimentations☆12Aug 9, 2020Updated 5 years ago
- ☆24May 1, 2025Updated last year
- Nonparametric Score Estimators, ICML 2020☆36Jun 25, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019☆39Jan 31, 2020Updated 6 years ago
- Lecture notes on Bayesian deep learning☆487Feb 11, 2018Updated 8 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆77Jun 15, 2021Updated 5 years ago
- Code for "Exponential Family Estimation via Adversarial Dynamics Embedding" (NeurIPS 2019)☆14Nov 26, 2019Updated 6 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Aug 2, 2024Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,900Jul 10, 2026Updated last week