Bayesian Deep Learning: A Survey
☆523Jul 4, 2026Updated 2 weeks ago
Alternatives and similar repositories for BayesianDeepLearning-Survey
Users that are interested in BayesianDeepLearning-Survey are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆983Sep 25, 2023Updated 2 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,574Apr 19, 2024Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,965Oct 20, 2023Updated 2 years ago
- a repo sharing Bayesian Neural Network recent papers☆217Aug 9, 2019Updated 6 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆14Jan 5, 2026Updated 6 months ago
- Officially unofficial PyTorch code for the NIPS paper 'Natural-Parameter Networks: A Class of Probabilistic Neural Networks'☆11Sep 28, 2021Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆641Aug 1, 2022Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆480Jul 6, 2023Updated 3 years ago
- ☆257Dec 27, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,583Jul 9, 2026Updated last week
- A curated list of resources dedicated to bayesian deep learning☆416May 10, 2017Updated 9 years ago
- ☆239May 23, 2020Updated 6 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 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.
- Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆16Dec 14, 2019Updated 6 years ago
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Feb 3, 2022Updated 4 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆46Apr 12, 2024Updated 2 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,218Dec 17, 2022Updated 3 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Papers for Bayesian-NN☆328Jun 25, 2019Updated 7 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Oct 19, 2022Updated 3 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 "Subspace Inference for Bayesian Deep Learning"☆83Jun 17, 2024Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Dec 31, 2019Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆248Dec 3, 2019Updated 6 years ago
- ☆15Oct 8, 2021Updated 4 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆833May 20, 2020Updated 6 years ago
- My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义…☆9,938Jul 8, 2026Updated last week
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆175Apr 12, 2022Updated 4 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Oct 12, 2019Updated 6 years ago
- Lecture notes on Bayesian deep learning☆487Feb 11, 2018Updated 8 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.
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 2024Updated 2 years ago
- Bayesian Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]☆39Feb 4, 2026Updated 5 months ago
- 关于domain generalization,domain adaptation,causality,robutness,prompt,optimization,generative model各式各样研究的阅读笔记☆1,241Dec 14, 2023Updated 2 years ago
- Notebooks about Bayesian methods for machine learning☆1,919Jul 12, 2026Updated last week
- Implementation of Patch-wise Adversarial Regularization from "Learning Robust Global Representations by Penalizing Local Predictive Power…☆18Oct 27, 2019Updated 6 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆15Nov 14, 2022Updated 3 years ago
- Active的ML&CV比赛列表,个人选择比赛的tips☆10Jul 2, 2021Updated 5 years ago