french-paragon / BayesianMnistLinks
A hello world Bayesian Neural Network project on MNIST
☆46Updated 3 years ago
Alternatives and similar repositories for BayesianMnist
Users that are interested in BayesianMnist are comparing it to the libraries listed below
Sorting:
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆134Updated 3 years ago
- Regression datasets from the UCI repository with standardized test-train splits.☆47Updated 3 years ago
- PyTorch implementation of bayesian neural network [torchbnn]☆539Updated last year
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆615Updated 4 months ago
- ☆152Updated 2 years ago
- ☆238Updated 5 years ago
- Bayesian neural networks via MCMC: tutorial☆58Updated 10 months ago
- Simple (and cheap!) neural network uncertainty estimation☆69Updated 3 months ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆457Updated last year
- Bayesian active learning with EPIG data acquisition☆34Updated 4 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆227Updated 10 months ago
- Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.☆96Updated 3 years ago
- Code for MC Dropout and Model Ensembling Uncertainty Estimate experiments☆70Updated 5 years ago
- Heterogeneous Multi-output Gaussian Processes☆53Updated 5 years ago
- PyTorch implementation of 'Weight Uncertainty in Neural Networks'☆19Updated 5 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Updated 5 years ago
- Improving predictions of Bayesian neural nets via local linearization, AISTATS 2021☆16Updated 2 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆21Updated 5 months ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆74Updated 3 years ago
- A Python package to learn the Koopman operator.☆61Updated 9 months ago
- Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization☆15Updated 2 years ago
- Implementation of normalizing flows from 1d to Nd☆36Updated 4 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆491Updated 4 years ago
- Multi-Output Gaussian Process Toolkit☆176Updated 2 months ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆55Updated last year
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆49Updated 3 weeks ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆225Updated last year
- Bayesian Neural Network in PyTorch☆91Updated last year