Belief matching framework official implementation
☆41Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for belief-matching-framework
Users that are interested in belief-matching-framework 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
- ☆68Dec 20, 2019Updated 6 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Nov 28, 2022Updated 3 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 3 years ago
- Code for "Training, Architecture, and Prior for Deterministic Uncertainty Methods" ICLR 2023 Workshop on Trustworthy ML☆12Jun 15, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆28Nov 28, 2022Updated 3 years ago
- Code for the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- PyTorch implementation of Probabilistic MIMO U-Net☆22Aug 15, 2024Updated last year
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Mar 31, 2020Updated 6 years ago
- Adaptive-binning for evaluation of confidence calibration☆12Jul 28, 2019Updated 6 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Bayesian Graph Neural Networks☆11Sep 10, 2021Updated 4 years ago
- ☆41May 14, 2019Updated 7 years ago
- Interactive textbook on state space models☆12Apr 11, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- [TPAMI 2025] Revisiting Essential and Non-Essential Settings of Evidential Deep Learning☆26Jun 24, 2025Updated 11 months ago
- Last-layer Laplace approximation code examples☆82Oct 18, 2021Updated 4 years ago
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆114Jun 7, 2022Updated 3 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Apr 8, 2020Updated 6 years ago
- Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')☆17Oct 12, 2022Updated 3 years ago
- Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317☆16Oct 31, 2018Updated 7 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 4 years ago
- ☆24May 1, 2025Updated last year
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years 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.
- My PhD manuscript LaTeX code and the slides for the defense☆11Feb 2, 2022Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆276Mar 17, 2022Updated 4 years ago
- SVGD implementation☆12Jul 23, 2018Updated 7 years ago
- ☆21Mar 25, 2023Updated 3 years ago
- ☆35Aug 4, 2022Updated 3 years ago
- Repository for "Improving evidential deep learning via multi-task learning," published in AAAI2022☆20Mar 4, 2022Updated 4 years ago
- ☆13Jul 17, 2023Updated 2 years ago
- ☆22Nov 24, 2018Updated 7 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Oct 25, 2019Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception☆36Jun 4, 2023Updated 2 years ago
- This is the available code for the paper `evidential fully convolutional network for semantic segmentation (arXiv preprint arXiv:2103.135…☆13Jun 1, 2022Updated 3 years ago
- Provides a minimal implementation to extract FLAN datasets for further processing☆11Feb 1, 2023Updated 3 years ago
- Multivariate Gaussian distributions for Tensorflow.☆23Jan 29, 2020Updated 6 years ago
- ☆11Oct 15, 2020Updated 5 years ago
- A library containing a collection of distance and similarity measures for data analysis☆16Mar 25, 2026Updated 2 months ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆31Mar 3, 2021Updated 5 years ago