(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
☆52Dec 14, 2022Updated 3 years ago
Alternatives and similar repositories for BayesCap
Users that are interested in BayesCap are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)☆17Nov 7, 2024Updated last year
- UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs☆10Apr 13, 2023Updated 3 years ago
- ☆24Mar 31, 2021Updated 5 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆150Jun 2, 2023Updated 3 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆26Mar 21, 2025Updated last year
- ProbVLM: Probabilistic Adapter for Frozen Vision-Language Models☆46Dec 21, 2023Updated 2 years ago
- [ICLR'22] Representation-Agnostic Shape Fields☆17Dec 8, 2022Updated 3 years ago
- Local Temperature Scaling for Probability Calibration☆25Nov 26, 2021Updated 4 years ago
- ☆18Sep 3, 2024Updated 2 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆53Dec 20, 2019Updated 6 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆105Nov 9, 2025Updated 11 months ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [NeurIPS'23] Uncertainty Estimation for Safety-critical Scene Segmentation via Fine-grained Reward Maximization☆19Aug 4, 2024Updated 2 years ago
- SUQ: Streamlined Uncertainty Quantification☆12Oct 7, 2025Updated last year
- AAAI 2022: Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation☆41Oct 3, 2022Updated 4 years ago
- [MICCAI 2022] MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation☆38Oct 11, 2022Updated 4 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 4 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
- [MedIA'22] Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior☆12Apr 3, 2024Updated 2 years ago
- ☆15Mar 20, 2023Updated 3 years ago
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆30Jun 27, 2023Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆12Apr 4, 2025Updated last year
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Nov 28, 2022Updated 3 years ago
- CVPR2021: Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces☆22Jul 28, 2021Updated 5 years ago
- [ICML 2024] Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks.☆23Feb 22, 2025Updated last year
- ☆19Aug 19, 2026Updated 2 months ago
- Code-base for the paper Spectral Normalisation for Deep Reinforcement Learning: An Optimisation Perspective.☆11Jun 26, 2021Updated 5 years ago
- ☆14Jul 25, 2023Updated 3 years ago
- ☆14Nov 29, 2022Updated 3 years ago
- Official repository for the WACV2023 paper Hyperdimensional Feature Fusion for Out-of-Distribution Detection☆15Feb 26, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Code accompanying the 2023 paper 'Robust deformable image registration using cycle-consistent implicit representations' (IEEE Transaction…☆18Apr 19, 2024Updated 2 years ago
- Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with…☆61Feb 23, 2023Updated 3 years ago
- Medical image handling library for easy manipulation of dicom images in research☆17Aug 19, 2019Updated 7 years ago
- Laplacian-Pyramid-Reconstruction-and-Refinement-for-Semantic-Segmentation in Pytorch☆12Nov 3, 2018Updated 7 years ago
- Addressing Failure Prediction by Learning Model Confidence☆173Nov 29, 2022Updated 3 years ago
- Source codes for UDEL.☆10Aug 22, 2024Updated 2 years ago