A hello world Bayesian Neural Network project on MNIST
☆57Apr 21, 2022Updated 4 years ago
Alternatives and similar repositories for BayesianMnist
Users that are interested in BayesianMnist are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Laplace Redux -- Effortless Bayesian Deep Learning☆46Jun 6, 2025Updated last year
- Spectral-normalized Neural Gaussian Process (SNGP) implementation in PyTorch☆11Jan 19, 2022Updated 4 years ago
- Code to reproduce experiments from "A Statistical Approach to Assessing Neural Network Robustness"☆12Feb 11, 2019Updated 7 years ago
- Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions☆24Jul 13, 2023Updated 3 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Aug 16, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A basic DNN tutorial in PyTorch, for persons without a background in Linux, Python, or remote servers☆10Apr 2, 2020Updated 6 years ago
- All You Need is a Good Functional Prior for Bayesian Deep Learning (JMLR 2022)☆19Apr 22, 2022Updated 4 years ago
- Codes for my thesis project: replicating and modifying quant GANs.☆18Aug 23, 2021Updated 5 years ago
- Repo for our paper "Repulsive deep ensembles are Bayesian"☆19Dec 11, 2021Updated 4 years ago
- ☆159Sep 15, 2022Updated 4 years ago
- ☆31Oct 7, 2022Updated 3 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆563Jul 25, 2024Updated 2 years ago
- ☆12Updated this week
- ☆19Dec 31, 2024Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆59Feb 7, 2019Updated 7 years ago
- Analysis workflow for yield prediction and optimisation in bioreactors for cultivated meat production☆20Jul 1, 2024Updated 2 years ago
- Amber MD agent tooling and MCP servers☆18Jun 16, 2026Updated 3 months ago
- ☆17May 25, 2025Updated last year
- Code for the paper Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design☆41Feb 21, 2026Updated 6 months ago
- Bayesian active learning with EPIG data acquisition☆42Sep 4, 2025Updated last year
- Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".☆37Jun 16, 2022Updated 4 years ago
- Reinforcement Learning-Guided Polymer Gen- eration for Multi-Objective Gas Membrane Discovery☆16Jun 5, 2026Updated 3 months ago
- Official implementation of "Weakly-supervised positional contrastive learning: application to cirrhosis classification", MICCAI 2023☆11Dec 16, 2025Updated 9 months 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.
- ☆12Jul 6, 2022Updated 4 years ago
- Segmentation models in Julia☆15Feb 15, 2022Updated 4 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,573Apr 19, 2024Updated 2 years ago
- This project applies Monte Carlo Tree Search (MCTS) to a simple grid world.☆10May 30, 2018Updated 8 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
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Sep 28, 2021Updated 4 years ago
- Quarto extension for Computo template☆19Jul 22, 2026Updated last month
- ☆13Dec 5, 2022Updated 3 years ago
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 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.
- The repository for the generative pretrained model on polymer generation☆23Mar 20, 2026Updated 6 months ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- MATLAB solver for the deformation of an elastic half-space based on the Boundary Element Method (BEM)☆15Nov 21, 2023Updated 2 years ago
- Open Source Mycetoma's First Series of Molecules☆10Aug 26, 2026Updated 3 weeks ago
- Training Neural Networks Without Gradients: A Scalable ADMM Approach python implement☆14Jun 20, 2017Updated 9 years ago
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆18Jan 5, 2026Updated 8 months ago
- Principal Geodesic Analysis in the Wasserstein space☆10Jun 19, 2018Updated 8 years ago