Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"
☆93Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for Sampling-free-Epistemic-Uncertainty
Users that are interested in Sampling-free-Epistemic-Uncertainty are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"☆86Feb 22, 2021Updated 5 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆175Jun 27, 2019Updated 7 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆66Oct 11, 2021Updated 4 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆10Jul 25, 2024Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Evaluation code for using probabilistic detection quality (PDQ) measure for probabilistic object detection tasks. Currently supports COCO…☆41Jul 6, 2023Updated 3 years ago
- Particle filter motion detector on an occupancy grid☆12Jun 5, 2017Updated 9 years ago
- ☆28Apr 11, 2019Updated 7 years ago
- Stochastic-YOLO: Efficient Probabilistic Object Detection under Dataset Shifts☆17Nov 6, 2020Updated 5 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- My master's thesis project☆10Nov 23, 2021Updated 4 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆61Jun 3, 2018Updated 8 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- 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
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 4 years ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Sep 13, 2020Updated 6 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆249Dec 3, 2019Updated 6 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,971Oct 20, 2023Updated 2 years ago
- ICNet: Intra-saliency Correlation Network for Co-Saliency Detection, NeurIPS(2020)☆30Apr 18, 2021Updated 5 years ago
- Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)☆15Feb 24, 2026Updated 6 months ago
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 2 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.
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆79May 18, 2022Updated 4 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
- 3DSlicer plugin for inpainting lung nodules in 3D chest CT data.☆11Dec 2, 2024Updated last year
- This is a PyTorch implementation of a Bayesian Convolutional Neural Network (BCNN) for Semantic Scene Completion on the SUNCG dataset. Gi…☆15Mar 30, 2023Updated 3 years ago
- ☆53May 4, 2018Updated 8 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- Code for experiments to learn uncertainty☆31Mar 16, 2023Updated 3 years ago
- Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image cor…☆62May 24, 2023Updated 3 years ago
- Label Studio + Pachyderm☆13Feb 24, 2021Updated 5 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.
- ☆239May 23, 2020Updated 6 years ago
- PyTorch implementation of Group Normalization https://arxiv.org/abs/1803.08494☆13Mar 23, 2018Updated 8 years ago
- Uncertainty quantification for semantic image segmentation models using Monte Carlo dropout method☆18Feb 10, 2021Updated 5 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆476Jul 6, 2023Updated 3 years ago
- Style Transfer by Rigid Alignment in Neural Net Feature Space☆11Jan 23, 2021Updated 5 years ago
- implementations sde-net☆14Dec 8, 2020Updated 5 years ago
- ☆29May 6, 2020Updated 6 years ago