An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.
☆36Nov 19, 2020Updated 5 years ago
Alternatives and similar repositories for regression-prior-networks
Users that are interested in regression-prior-networks 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 "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- ☆19Updated this week
- Accompanying code for "Analyzing Vision Tranformers in Class Embedding Space" (NeurIPS '23)☆15Jun 10, 2024Updated last year
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆13Oct 12, 2020Updated 5 years ago
- My implementation of https://arxiv.org/abs/1910.02600 in pytorch. Based on https://github.com/aamini/evidential-deep-learning☆10Jan 26, 2021Updated 5 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆103Nov 9, 2025Updated 5 months ago
- (ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks☆51Dec 14, 2022Updated 3 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
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Dec 20, 2019Updated 6 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- ☆17Sep 3, 2024Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated 10 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Codebase for our paper "URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks"☆19Aug 27, 2022Updated 3 years ago
- Code for our paper titled: "A Review and Comparative Study on Probabilistic Object Detection in Autonomous Driving"☆85Feb 22, 2021Updated 5 years ago
- ☆10Sep 14, 2022Updated 3 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 3 years ago
- PyTorch implementation for DESC - BMVC20 (Oral) & IJCV22☆17Dec 23, 2022Updated 3 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Companion code for the paper "Learnable Uncertainty under Laplace Approximations" (UAI 2021).☆19Jun 8, 2021Updated 4 years ago
- ☆256Dec 27, 2022Updated 3 years ago
- Optimal ordering of elements in a set given their distance matrix.☆17Oct 2, 2023Updated 2 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.
- Lazy Receding Horizon A*☆13Oct 25, 2018Updated 7 years ago
- Code for "Self-Distillation as Instance-Specific Label Smoothing"☆15Oct 22, 2020Updated 5 years ago
- Repo for preprint 2025 "MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models"☆13Apr 23, 2025Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- Official repository for CVPR2023 publication, GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection☆19Sep 25, 2024Updated last year
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Scalable Monotonic Neural Networks☆12Mar 14, 2024Updated 2 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Nov 16, 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.
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023☆53Sep 15, 2023Updated 2 years ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Nov 17, 2019Updated 6 years ago
- This repository contains an official implementation of LPBNN.☆38Jun 28, 2023Updated 2 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated last year
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago