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?"☆173Jun 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 3 years ago
- using monte carlo dropout to have uncertainty estimation of predictions☆16Nov 12, 2019Updated 6 years ago
- Official implementation of "How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?", TMLR 2023.☆19Mar 21, 2024Updated 2 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.
- ☆28Apr 11, 2019Updated 7 years ago
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- YOLOv3 object detection architecture with uncertainty estimation.☆61Jan 8, 2020Updated 6 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
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 5 years ago
- ☆53May 4, 2018Updated 8 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
- 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.
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,571Mar 24, 2026Updated 2 months ago
- A New Ensemble Learning Framework for 3D Biomedical Image Segmentation, AAAI, 2019☆16Nov 14, 2018Updated 7 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆253Nov 8, 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
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆294Jan 16, 2019Updated 7 years ago
- Uncertainty in Medical Image Analysis☆317Nov 6, 2021Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,571Apr 19, 2024Updated 2 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Jun 30, 2022Updated 3 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.
- My implementation of the paper "Simple and Scalable Predictive Uncertainty estimation using Deep Ensembles"☆141Jan 15, 2018Updated 8 years ago
- Tutorial on pythonically generating Object Detection data in blender☆13Nov 29, 2020Updated 5 years ago
- Bayesian U-Net for Keras☆11Dec 28, 2019Updated 6 years ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆136Jul 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
- Notes and codes of the topic "Bayesian deep learning"☆57Nov 30, 2018Updated 7 years ago
- ☆25Aug 11, 2022Updated 3 years ago
- Implementing Bayes by Backprop☆184Mar 25, 2019Updated 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
- 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.
- I categorize, annotate and write comments for all research papers I read (550+ papers since 2018).☆411Mar 5, 2026Updated 2 months ago
- Building a Bayesian deep learning classifier☆492Oct 30, 2017Updated 8 years ago
- Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation☆34Mar 28, 2023Updated 3 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
- ☆25May 14, 2019Updated 7 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 years ago