Bayesian Deep Learning: A Survey
☆521Jul 4, 2026Updated 2 months 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.☆985Sep 25, 2023Updated 2 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,972Oct 20, 2023Updated 2 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆672Mar 24, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆18Jan 5, 2026Updated 8 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…☆642Aug 1, 2022Updated 4 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆476Jul 6, 2023Updated 3 years ago
- ☆254Dec 27, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,592Updated this 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 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.
- Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD☆16Dec 14, 2019Updated 6 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Dec 13, 2017Updated 8 years ago
- The Pytorch implementation for "Uncertainty-guided Model Generalization to Unseen Domains" (CVPR 2021)☆22Feb 3, 2022Updated 4 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆563Jul 25, 2024Updated 2 years ago
- [ICLR 2022] Graph-Relational Domain Adaptation☆46Apr 12, 2024Updated 2 years ago
- Papers for Bayesian-NN☆327Jun 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
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆208Dec 19, 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.
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Dec 31, 2019Updated 6 years ago
- General API for Deep Bayesian Variational Inference by Backpropagation. The repository has been designed to work with Transformers like a…☆44Sep 23, 2020Updated 5 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆249Dec 3, 2019Updated 6 years ago
- Official repo to paper☆12Jan 15, 2023Updated 3 years ago
- ☆15Oct 8, 2021Updated 4 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…☆10,362Jul 8, 2026Updated 2 months ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Apr 12, 2022Updated 4 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆2,013Mar 5, 2025Updated last year
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆520Jan 2, 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 Low-Rank Adaptation of LLMs: BLoB [NeurIPS 2024] and TFB [NeurIPS 2025]☆40Feb 4, 2026Updated 7 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☆1,244Dec 14, 2023Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,913Jul 10, 2026Updated 2 months ago
- Notebooks about Bayesian methods for machine learning☆1,917Jul 12, 2026Updated 2 months ago
- 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
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago