Bayesian Neural Network in PyTorch
☆93May 3, 2024Updated 2 years ago
Alternatives and similar repositories for bnn
Users that are interested in bnn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,978Oct 20, 2023Updated 3 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆563Jul 25, 2024Updated 2 years ago
- Bayesian neural network package☆154Jul 6, 2021Updated 5 years ago
- A pytorch version of hamiltonian monte carlo☆14Jun 26, 2019Updated 7 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,574Apr 19, 2024Updated 2 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆986Sep 25, 2023Updated 3 years ago
- PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)☆15Sep 10, 2018Updated 8 years ago
- Fast Gaussian Processes for regression☆11Nov 23, 2018Updated 7 years ago
- Discrete fourier transform (DFT) and discrete wavelet transform (DWT) to denoise white noise☆10May 8, 2020Updated 6 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆174Apr 12, 2022Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆53May 14, 2021Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆68Jun 17, 2020Updated 6 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆105Oct 10, 2018Updated 8 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Aug 9, 2019Updated 7 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Code for "Learning a neural solver for Parametric PDE to Enhance Physics-Informed Methods", poster at ICLR 2025.☆12Oct 10, 2025Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆61Jul 1, 2021Updated 5 years ago
- ☆11Aug 13, 2024Updated 2 years ago
- Quant Trading Interface for Linux☆11Jul 11, 2018Updated 8 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years ago
- RoBO: a Robust Bayesian Optimization framework☆497Apr 30, 2019Updated 7 years ago
- Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.☆21Aug 20, 2021Updated 5 years ago
- Apply different deep learning models to limit order book.☆13Mar 6, 2018Updated 8 years ago
- Building a Bayesian deep learning classifier☆491Oct 30, 2017Updated 8 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Bayesian Optimization Meets Bayesian Optimal Stopping☆33Oct 24, 2020Updated 6 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Aug 31, 2020Updated 6 years ago
- Probabilistic Forecasting with Temporal Convolutional Neural Network☆11Nov 7, 2019Updated 6 years ago
- Multiscale reduction clustering of vibration signals for unsupervised diagnosis of machine faults☆17Nov 27, 2024Updated last year
- Code for PCA-OGD (AISTATS 2021)☆11Mar 16, 2021Updated 5 years ago
- A curated list of resources for learning Gaussian Processes☆41Jul 18, 2021Updated 5 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- ☆13Nov 21, 2016Updated 9 years ago
- MATLAB toolbox for training and validating PGNN-based feedforward controllers.☆14Apr 13, 2023Updated 3 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.
- Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch☆49Nov 3, 2017Updated 8 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks☆85Nov 29, 2021Updated 4 years ago
- Author: Nathan Totorica Date: 5/14/2021 # Singularity Matrix Pertubation (SMP) This code was written for a class project in the course e…☆11May 14, 2021Updated 5 years ago
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆18Jun 23, 2022Updated 4 years ago
- Contractive Auto-Encoders in Numpy☆14Aug 31, 2012Updated 14 years ago
- PyTorch implementation of Neural Processes☆89Feb 17, 2019Updated 7 years ago
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆14Mar 6, 2025Updated last year