ShellingFord221 / My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-VisionView on GitHub
Pytorch implementation of classification task in What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision (simple version)
☆80Jul 13, 2021Updated 5 years ago
Alternatives and similar repositories for My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision
Users that are interested in My-implementation-of-What-Uncertainties-Do-We-Need-in-Bayesian-Deep-Learning-for-Computer-Vision 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
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆135Jul 30, 2019Updated 7 years ago
- ☆239May 23, 2020Updated 6 years ago
- Code for our MIDL2020 submission "Well-Calibrated Regression Uncertainty in Medical Imaging with Deep Learning".☆31Apr 27, 2021Updated 5 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Oct 5, 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.
- ☆11Feb 14, 2024Updated 2 years ago
- DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior (CVPR 2020)☆61Jun 22, 2020Updated 6 years ago
- Efficient Segmentation: Learning Downsampling Near Semantic Boundaries☆32Sep 29, 2020Updated 5 years ago
- code for the paper "ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts" (CVPR 2022)☆10Jul 17, 2022Updated 4 years ago
- Classification uncertainty using Bayesian neural networks☆34Jun 28, 2016Updated 10 years ago
- Pixel VQ-VAEs for Improved Pixel Art Representation☆17Feb 11, 2023Updated 3 years ago
- PyTorch-based radio-interferometric imaging reconstruction package with scalable Bayesian uncertainty quantification relying on data-driv…☆12Feb 17, 2025Updated last year
- The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)☆30Jun 27, 2023Updated 3 years ago
- [ICME 2019] Source code and datasets for "Semi-supervised Compatibility Learning Across Categories for Clothing Matching"☆11Apr 26, 2024Updated 2 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.
- A PyTorch implementation of EMANet based on ICCV 2019 paper "Expectation-Maximization Attention Networks for Semantic Segmentation"☆18Feb 21, 2020Updated 6 years ago
- DKN code☆44Oct 21, 2019Updated 6 years ago
- Code for "Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors." (ICLR 2021)☆66Oct 11, 2021Updated 4 years ago
- Uncertainty in Medical Image Analysis☆318Nov 6, 2021Updated 4 years ago
- [AIIM'22] The official code for "Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation"☆27Dec 21, 2022Updated 3 years ago
- Density Network Implementations using TensorFlow☆27Sep 13, 2018Updated 8 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- ☆12Apr 2, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Code for "On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty".☆115Jun 7, 2022Updated 4 years ago
- The Official PyTorch Implementation of OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation☆35Jul 6, 2024Updated 2 years ago
- The source code for DB-LSH (ICDE 2022)☆15Oct 5, 2022Updated 3 years ago
- Implementation of Optimal Transport-driven CycleGAN (OT-CycleGAN)☆23Jan 10, 2022Updated 4 years ago
- pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行☆16Feb 23, 2019Updated 7 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆275Mar 17, 2022Updated 4 years ago
- Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf