Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
☆79Oct 3, 2023Updated 2 years ago
Alternatives and similar repositories for DUN
Users that are interested in DUN 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 the paper "Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers" published in ICLR 2019☆13Apr 25, 2019Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"☆35Apr 23, 2024Updated 2 years ago
- Conjugate gradients minimization☆12Oct 22, 2019Updated 6 years ago
- ☆11Sep 16, 2021Updated 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.
- Posterior Network: Uncertainty Estimation without OOD Samples via Density-Based Pseudo-Counts (Neurips 2020)☆78May 18, 2022Updated 3 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆76Jun 15, 2021Updated 4 years ago
- Code for experiments to learn uncertainty☆30Mar 16, 2023Updated 3 years ago
- Multilayer modelling of the human transcriptome and biological mechanisms of complex diseases and traits☆11Jun 2, 2021Updated 4 years ago
- Multi-modal data augmentation for machine learning☆16Jun 4, 2019Updated 6 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,571Mar 24, 2026Updated last month
- ☆17Jun 4, 2021Updated 4 years ago
- Bayesian neural network package☆156Jul 6, 2021Updated 4 years ago
- Python library for Bayesian Autoencoders☆13Jun 10, 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 "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆88Jul 19, 2020Updated 5 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Mar 12, 2021Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆638Aug 1, 2022Updated 3 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆15Dec 30, 2022Updated 3 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29May 30, 2019Updated 6 years ago
- Explaining Image Classifiers by Counterfactual Generation☆28Apr 23, 2022Updated 4 years ago
- ☆256Dec 27, 2022Updated 3 years ago
- ☆16Oct 8, 2021Updated 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.
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Nov 10, 2020Updated 5 years ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆14Feb 16, 2022Updated 4 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,968Oct 20, 2023Updated 2 years ago
- An official PyTorch implementation of "Regression Prior Networks" for effective runtime uncertainty estimation.☆36Nov 19, 2020Updated 5 years ago
- ☆68Dec 20, 2019Updated 6 years ago
- Early exit ensembles☆12Dec 4, 2021Updated 4 years ago
- Neural Ensemble Search for Uncertainty Estimation and Dataset Shift☆35Jan 10, 2026Updated 3 months ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆103Oct 10, 2018Updated 7 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Oct 5, 2021Updated 4 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.
- Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"☆37Aug 25, 2023Updated 2 years ago
- Supplementary material to reproduce "The Unreasonable Effectiveness of Deep Evidential Regression"☆30Nov 28, 2022Updated 3 years ago
- Latent Discriminant deterministic Uncertainty [ECCV2022]☆43Jul 25, 2022Updated 3 years ago
- Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited☆37Dec 27, 2022Updated 3 years ago
- Supplementary material to reproduce "Multivariate Deep Evidential Regression"☆21Feb 25, 2022Updated 4 years ago
- Demo code of ACMMM 2022 "Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelity"☆14Oct 13, 2022Updated 3 years ago
- Inferring distributions over depth from a single image, IROS 2019☆39Jul 21, 2023Updated 2 years ago