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:
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 3 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 6 years ago
- ☆13Oct 12, 2020Updated 5 years ago
- Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).☆104Nov 9, 2025Updated 9 months 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.
- Methods used in the paper "Plausible Uncertainties for Human Pose Regression".☆15Aug 13, 2024Updated 2 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
- Calibrating LLMs with Information-Theoretic Evidential Deep Learning (ICLR 2025)☆18Mar 2, 2025Updated last year
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆53Dec 20, 2019Updated 6 years ago
- On the Importance of Gradients for Detecting Distributional Shifts in the Wild☆56Aug 3, 2022Updated 4 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☆16Dec 30, 2022Updated 3 years ago
- Low-Weight-Edge-Guided-Monodepth☆18Jun 15, 2020Updated 6 years ago
- Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.☆12Apr 16, 2019Updated 7 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.
- Optimal ordering of elements in a set given their distance matrix.☆18Oct 2, 2023Updated 2 years ago
- Code to accompany "Conformal Prediction as Bayesian Quadrature" by Jake Snell & Tom Griffiths (ICML 2025 Outstanding Paper)☆24Jul 14, 2025Updated last year
- 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"☆16Apr 23, 2025Updated last year
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 4 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Nov 2, 2021Updated 4 years ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆78Oct 3, 2023Updated 2 years ago
- The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023☆54Sep 15, 2023Updated 2 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.
- Code for "Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations"☆23Nov 16, 2022Updated 3 years ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92May 14, 2024Updated 2 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- Uncertainty on Asynchronous Time Event Prediction (Spotlight, Neurips 2019)☆20Oct 8, 2020Updated 5 years ago
- ☆15Feb 25, 2018Updated 8 years ago
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Oct 28, 2019Updated 6 years ago
- Official repo for the work titled "SharinGAN: Combining Synthetic and Real Data for Unsupervised GeometryEstimation"☆27May 4, 2023Updated 3 years ago
- [BMVC 2022] MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks☆35Jun 21, 2024Updated 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.
- Official implementation of the paper "Understanding Language Prior of LVLMs by Contrasting Chain-of-Embedding"☆18Sep 30, 2025Updated 10 months ago
- Unsupervised single image depth prediction with CNNs☆14Jun 25, 2021Updated 5 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆11May 22, 2020Updated 6 years ago
- Comprehensive list of machine learning videos☆39Jun 23, 2018Updated 8 years ago
- Inferring distributions over depth from a single image, IROS 2019☆39Jul 21, 2023Updated 3 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- ☆17Jun 8, 2021Updated 5 years ago