Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)
☆25Jan 25, 2020Updated 6 years ago
Alternatives and similar repositories for bayesian-temperature-scaling
Users that are interested in bayesian-temperature-scaling 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 MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- code of the paper "Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit …☆13Jan 28, 2026Updated 5 months ago
- Core codes for the paper ["A General Data-driven Framework for Remaining Useful Life Estimation with Uncertainty Quantification Using Spl…☆14Jan 17, 2024Updated 2 years ago
- A docker image containing changes applied to the ETKDG conformer generator workflow, with example scripts.☆12Jun 15, 2019Updated 7 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆30Feb 5, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Experiments from our work Uncertainty Quantification and Deep Ensemble☆10Nov 1, 2021Updated 4 years ago
- Transformer-Based Diffusion Probabilistic Model to predict the Remaining Useful Life (RUL) of Lithium-ion batteries☆34Mar 5, 2025Updated last year
- ☆11Dec 23, 2024Updated last year
- Demo code for reconstructed images from fine-tuned autoencoders☆15Nov 2, 2020Updated 5 years ago
- Learning by Aligning Videos in Time (CVPR 2021)☆13Sep 10, 2023Updated 2 years ago
- The official repository of TeamGabru.☆13Oct 16, 2019Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 5 years ago
- ☆11Jan 27, 2020Updated 6 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 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.
- Enhancing Surgical Instrument Segmentation: Integrating Vision Transformer Insights with Adapter☆13Mar 21, 2024Updated 2 years ago
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆12Apr 13, 2024Updated 2 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Skin Cancer Prediction on HAM10000 ("Human Against Machine with 10000 training images") dataset using PyTorch☆16Oct 3, 2023Updated 2 years ago
- Image recognition: using keras tensorflow to classify images of pigmented skin cancer lesions into their respective classes☆14Dec 17, 2018Updated 7 years ago
- Code release for the paper I. Zakazov, B. Shirokikh et al. "Anatomy of Domain Shift Impact on U-Net Layers in MRI Segmentation" (MICCAI 2…☆13Apr 27, 2026Updated 2 months ago
- Continual learning using variational prototype replays☆10Oct 17, 2020Updated 5 years ago
- Outlier Exposure with Confidence Control for Out-of-Distribution Detection☆70Mar 13, 2021Updated 5 years ago
- Want to export a model from OpenSim to STL? Wegotchufam.☆16Jan 15, 2019Updated 7 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.
- Author implementations for VL4Pose, EGL++ and LearningLoss++, and "unofficial" implementations of various active learning algorithms for …☆14Dec 14, 2022Updated 3 years ago
- A simple way to calibrate your neural network.☆1,173Jul 26, 2025Updated 11 months ago
- Reliable Source Approximation: Source-Free Domain Adaptation for Vestibular Schwannoma MRI Segmentation☆11Dec 28, 2024Updated last year
- Twisted Convolutional Networks (TCNs)☆11Dec 9, 2025Updated 7 months ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆14Jun 20, 2017Updated 9 years ago
- Official implementation of the NeurIPS 2023 paper: "Uncertainty Quantification via Neural Posterior Principal Components"☆13Jun 18, 2024Updated 2 years ago
- Wide Kernel Time-Frequency Fusion (WTFF)--Multi-Domain Time-Frequency Fusion Feature Contrastive Learning for Machinery Fault Diagnosis☆14Mar 21, 2025Updated last year
- Quantifying Uncertainty in Deep Spatiotemporal Forecasting☆12Mar 20, 2021Updated 5 years ago
- seanlau-flair / unsupervised-remaining-useful-life-prediction-for-bearings-with-virtual-health-index☆10Dec 8, 2022Updated 3 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.
- ☆16Nov 19, 2021Updated 4 years ago
- ☆20Jan 6, 2026Updated 6 months ago
- FDS-MOMEDA: Optimization-Blind Deconvolution in Finite High-Dimensional Spaces for Extracting Pulse Signal in Rolling Bearing Fault Diagn…☆10May 29, 2024Updated 2 years ago
- This repository contains all the source code needed to reproduce the experiments or review the results obtained in the research paper "…☆13Dec 9, 2023Updated 2 years ago
- [NeurIPS'23] Parts of Speech–Grounded Subspaces in Vision-Language Models☆29Feb 25, 2024Updated 2 years ago
- ☆18Nov 6, 2022Updated 3 years ago
- Experimental ADMM approach to neural networks☆12Nov 8, 2016Updated 9 years ago