Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments
☆73Feb 12, 2020Updated 6 years ago
Alternatives and similar repositories for incertae
Users that are interested in incertae are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository reimplemented "MC Dropout" by tensorflow 2.0 Eager Extension.☆18Mar 25, 2023Updated 3 years ago
- This repo contains a PyTorch implementation of the paper: "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles"☆16Mar 5, 2022Updated 4 years ago
- Bayesian U-Net for Keras☆11Dec 28, 2019Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆159Jul 23, 2022Updated 3 years ago
- ☆238May 23, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,966Oct 20, 2023Updated 2 years ago
- multifidelity global sensitivity analysis☆18Jul 22, 2022Updated 3 years ago
- Copula fitting in Python.☆13Dec 4, 2023Updated 2 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆52Jul 25, 2021Updated 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☆30Jan 15, 2020Updated 6 years ago
- ☆27Feb 22, 2023Updated 3 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆254Nov 8, 2018Updated 7 years ago
- A pytorch implementation of MCDO(Monte-Carlo Dropout methods)☆58Jan 1, 2019Updated 7 years ago
- MolTaut, a tool for the rapid generation of favorable states of drug-like molecules in water☆20Feb 1, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,572Apr 19, 2024Updated last year
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Feb 26, 2022Updated 4 years ago
- What My Deep Model Doesn't Know...☆119Sep 29, 2015Updated 10 years ago
- SwAV for CIFAR-10, adapted from https://github.com/facebookresearch/swav☆28Oct 26, 2021Updated 4 years ago
- Concrete Dropout implementation for Tensorflow 2.0 and PyTorch☆14Dec 18, 2024Updated last year
- Breast cancer classification from Mammogram images using Deep CNN with Keras and TensorFlow.☆15Jun 18, 2022Updated 3 years ago
- Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization☆1,983Mar 5, 2025Updated last year
- Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325☆12Oct 15, 2020Updated 5 years ago
- A small tutorial to demonstrate the power of CatBoost Algorithm☆11Jun 1, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Apr 12, 2022Updated 4 years ago
- PyTorch Lightning based framework to run experiments for self-supervised learning tasks.☆10Feb 14, 2020Updated 6 years ago
- Building a Bayesian deep learning classifier☆493Oct 30, 2017Updated 8 years ago
- Expanding linear RNN state-transition matrix eigenvalues to include negatives improves state-tracking tasks and language modeling without…☆21Mar 15, 2025Updated last year
- PyTorch implementation of 'Concrete Dropout'☆21Nov 9, 2023Updated 2 years ago
- A Pytorch implementation of Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation☆15Nov 28, 2023Updated 2 years ago
- A Python based code to construct a Sorted Coulomb matrix from Smile strings (CSV input) of molecules . An optional scikit-learn is invoke…☆21Jan 15, 2017Updated 9 years ago
- ☆10May 22, 2023Updated 2 years ago
- Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'☆62Jun 3, 2018Updated 7 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.
- Bayesian Deep Learning Benchmarks☆673Mar 24, 2023Updated 3 years ago
- Uncertainty quantification of molecular property prediction using Bayesian deep learning☆46Feb 14, 2019Updated 7 years ago
- ☆11Aug 10, 2023Updated 2 years ago
- Quantile Regression using Deep Learning. An alternative to Bayesian models to get uncertainty.☆76Sep 4, 2017Updated 8 years ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆981Sep 25, 2023Updated 2 years ago
- A Girder plugin for exposing slicer execution model's CLI modules over the web☆18Feb 26, 2026Updated last month
- ☆12Jan 11, 2018Updated 8 years ago