☆68Dec 20, 2019Updated 6 years ago
Alternatives and similar repositories for PriorNetworks
Users that are interested in PriorNetworks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- ☆41May 14, 2019Updated 6 years ago
- Belief matching framework official implementation☆41Mar 24, 2023Updated 3 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 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.
- Paper Reproduce for "Predictive Uncertainty Estimation via Prior Networks" by Andrey Malinin and Mark Gales.☆30Jul 13, 2020Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆517Jan 2, 2024Updated 2 years ago
- Implementation of Deep evidential regression paper☆58Dec 6, 2020Updated 5 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- Out-of-distribution detection using the pNML regret. NeurIPS2021☆25Dec 20, 2024Updated last year
- Github for the conference paper GLOD-Gaussian Likelihood OOD detector☆16Apr 18, 2022Updated 3 years ago
- Official implementation of Evidential Uncertainty Quantification: A Variance-Based Perspective [WACV 2024]☆20Sep 2, 2025Updated 7 months ago
- MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks [BMVC 2022]☆34Jun 21, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- Variational Reinforcement Learning☆17Jul 25, 2024Updated last year
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆638Aug 1, 2022Updated 3 years ago
- Create reliability diagrams to quantify ML calibration.☆10Feb 1, 2022Updated 4 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,568Mar 24, 2026Updated 2 weeks ago
- Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty☆148Jun 2, 2023Updated 2 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- ☆17Jun 18, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [ICLR 2024 Spotlight] R-EDL: Relaxing Nonessential Settings of Evidential Deep Learning☆43Nov 18, 2024Updated last year
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆25Jun 24, 2025Updated 9 months ago
- ☆13Oct 12, 2020Updated 5 years ago
- ☆13Jun 10, 2022Updated 3 years ago
- Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)☆79Oct 3, 2023Updated 2 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- AGCN - Spectral ChevNet built on Adaptive, trainable graphs☆11Aug 16, 2020Updated 5 years ago
- The implementation of the paper 'Multi-label learning by exploiting label dependency' in KDD 2010, an algorithm for multi-label by expl…☆13Oct 30, 2018Updated 7 years ago
- ☆238May 23, 2020Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 5 years ago
- Metrics for out-of-distribution (OOD) detection performance evaluation☆50Jan 13, 2025Updated last year
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- ☆21Oct 22, 2025Updated 5 months ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Oct 5, 2019Updated 6 years ago
- Uncertainty estimation for anchor-based deep object detectors.☆40Nov 24, 2020Updated 5 years ago