Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.
☆134Jul 4, 2020Updated 5 years ago
Alternatives and similar repositories for evaluating_bdl
Users that are interested in evaluating_bdl are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆209Dec 19, 2019Updated 6 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆174Jun 27, 2019Updated 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
- using monte carlo dropout to have uncertainty estimation of predictions☆16Nov 12, 2019Updated 6 years ago
- ☆28Apr 11, 2019Updated 7 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- Code for Scalable Uncertainty for Computer Vision with Functional Variational Inference @ CVPR 2020☆68Jul 11, 2020Updated 5 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,576Jun 5, 2026Updated last week
- A New Ensemble Learning Framework for 3D Biomedical Image Segmentation, AAAI, 2019☆16Nov 14, 2018Updated 7 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆95Oct 3, 2023Updated 2 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.
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆294Jan 16, 2019Updated 7 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- Uncertainty interpretations of the neural network☆32May 3, 2018Updated 8 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Jun 30, 2022Updated 3 years ago
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆141Jan 15, 2018Updated 8 years ago
- The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"☆96Jun 9, 2020Updated 6 years ago
- Tutorial on pythonically generating Object Detection data in blender☆13Nov 29, 2020Updated 5 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 6 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,968Oct 20, 2023Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Notes and codes of the topic "Bayesian deep learning"☆57Nov 30, 2018Updated 7 years ago
- A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.☆564Mar 24, 2023Updated 3 years ago
- I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).☆414Mar 5, 2026Updated 3 months ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- ☆45Feb 4, 2022Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- ☆41May 14, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 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
- TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation☆12Jul 14, 2022Updated 3 years ago
- Overview of Bayesian Deep Learning☆11Apr 24, 2019Updated 7 years ago
- ☆83Oct 17, 2018Updated 7 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Aug 2, 2024Updated last year
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 5 years ago