Dropout as Regularization and Bayesian Approximation
☆57Nov 17, 2018Updated 7 years ago
Alternatives and similar repositories for Dropout_Tutorial_in_PyTorch
Users that are interested in Dropout_Tutorial_in_PyTorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"☆10Aug 2, 2024Updated 2 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
- Using simple logistic regression to predict credit card fraud transactions☆10Apr 27, 2017Updated 9 years ago
- Official Code: Estimating Model Uncertainty of Neural Networks in Sparse Information Form, ICML2020.☆32Mar 3, 2021Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆239May 23, 2020Updated 6 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆162Jul 23, 2022Updated 4 years ago
- Bayesian, Uncertainty, Neutral Networks, LSTM, time series☆39Aug 1, 2020Updated 6 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Nov 28, 2022Updated 3 years ago
- GAN implementations☆14Aug 24, 2020Updated 6 years ago
- Official implementation of "Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision", CVPR Workshops 2020.☆134Jul 4, 2020Updated 6 years ago
- A method for ranking fragments by how much novel information they give about protein targets in fragment screens. When using the results …☆10Oct 11, 2022Updated 4 years ago
- PyTorch Implementation of MIMO (ICLR 2021)☆16Dec 16, 2022Updated 3 years ago
- Carcinogenicity prediction with graph neural networks☆11Feb 28, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 6 years ago
- This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pyt…☆53Jul 25, 2021Updated 5 years ago
- Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"☆248Dec 3, 2019Updated 6 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,979Oct 20, 2023Updated 3 years ago
- pytorch-retain☆13Nov 20, 2017Updated 8 years ago
- Visualization of nucleotide alignment algorithms 🧬 DNA sequence as input, best aligning match as output.☆13Aug 11, 2020Updated 6 years ago
- AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)☆36Sep 16, 2018Updated 8 years ago
- Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832☆251Nov 8, 2018Updated 7 years ago
- [NeurIPS 2025] PRISM is a multi-concept feature description framework which can identify and score polysemantic features.☆14Jun 26, 2026Updated 4 months 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.
- Implementation of Bootstrap DQN and Randomized Prior Functions on ALE☆56Mar 12, 2025Updated last year
- Official GitHub for the paper "Labeling Neural Representations with Inverse Recognition"☆10Dec 3, 2025Updated 11 months ago
- "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).☆208Dec 19, 2019Updated 6 years ago
- Code to load and fit dose response curves in a Bayesian inference framework☆10May 25, 2020Updated 6 years ago
- ☆12Feb 17, 2025Updated last year
- ☆59Feb 7, 2019Updated 7 years ago
- " Weight Uncertainty in Neural Networks"☆49Jan 31, 2018Updated 8 years ago
- ☆12Jun 2, 2018Updated 8 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆77Jan 22, 2019Updated 7 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.
- This is a tutorial in the form of a Jupyter notebook☆13Mar 1, 2019Updated 7 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆89Dec 20, 2019Updated 6 years ago
- Machine learning models for estimating aleatoric and epistemic uncertainty with evidential and ensemble methods.☆30Jul 9, 2025Updated last year
- Machining feature dataset with 24 classes including 1000 models each☆30Jun 8, 2018Updated 8 years ago
- Initial data release for drug-target interactions of the cancer targetome.☆16Jul 8, 2021Updated 5 years ago
- Houses deployable code for the SCORCH scoring function and docking pipeline from the related publication: https://doi.org/10.1016/j.jare.…☆18Nov 29, 2022Updated 3 years ago