Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"
☆175Jun 27, 2019Updated 7 years ago
Alternatives and similar repositories for what
Users that are interested in what are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆208Dec 19, 2019Updated 6 years ago
- Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple vers…☆80Jul 13, 2021Updated 5 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- Code for the ICCV 2019 paper "Sampling-free Epistemic Uncertainty Estimation Using Approximated Variance Propagation"☆93Oct 3, 2023Updated 2 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 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.
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)☆60Mar 30, 2020Updated 6 years ago
- [ECCV2022] Latent Discriminant deterministic Uncertainty☆43Jul 25, 2022Updated 4 years ago
- Official Code Repository for the paper "Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation …☆20Jun 19, 2023Updated 3 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆642Aug 1, 2022Updated 4 years ago
- ☆83Oct 17, 2018Updated 7 years ago
- Implementation and evaluation of different approaches to get uncertainty in neural networks☆141Feb 16, 2018Updated 8 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.
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆66Oct 11, 2021Updated 4 years ago
- ☆23Aug 20, 2018Updated 8 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 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
- Stochastic Segmentation Networks☆67Jun 26, 2020Updated 6 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆37May 21, 2018Updated 8 years ago
- A NumPy implementation of Lee et al., Deep Neural Networks as Gaussian Processes, 2018☆17Mar 24, 2021Updated 5 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 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.
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- ☆25Aug 11, 2022Updated 4 years ago
- Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images☆17Oct 15, 2019Updated 6 years ago
- A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch☆296Jan 16, 2019Updated 7 years ago
- PyTorch implementation of MoDL: Model Based Deep Learning Architecture for Inverse Problems☆36Feb 5, 2024Updated 2 years ago
- IJCAI2020 & IJCV2021 Unsupervised Scene Adaptation with Memory Regularization in vivo☆397Oct 24, 2025Updated 11 months ago
- Code for Episodic Memory Reader (EMR) https://arxiv.org/abs/1903.06164☆15Nov 16, 2022Updated 3 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆528Aug 31, 2021Updated 5 years ago
- Chainer implementation of Bayesian Convolutional Neural Networks (BCNNs)☆51Jul 4, 2020Updated 6 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.
- ☆36Dec 8, 2022Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,593Sep 16, 2026Updated last week
- ☆57Jan 14, 2021Updated 5 years ago
- ☆18Feb 20, 2024Updated 2 years ago
- Harvard Fall 2019 Applied Math 207 A Primer and Critique of Prior Networks☆12Dec 22, 2019Updated 6 years ago
- Dissecting the weight space of neural networks☆18Apr 16, 2021Updated 5 years ago
- This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"☆521Jan 2, 2024Updated 2 years ago