Harry24k / bayesian-neural-network-pytorchLinks
PyTorch implementation of bayesian neural network [torchbnn]
☆545Updated last year
Alternatives and similar repositories for bayesian-neural-network-pytorch
Users that are interested in bayesian-neural-network-pytorch are comparing it to the libraries listed below
Sorting:
- A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch☆626Updated 6 months ago
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆977Updated 2 years ago
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆136Updated 3 years ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,535Updated last year
- ☆239Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆634Updated 3 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,932Updated 2 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆458Updated last year
- Laplace approximations for Deep Learning.☆523Updated 6 months ago
- Regression datasets from the UCI repository with standardized test-train splits.☆48Updated 3 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆472Updated 2 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆575Updated 3 years ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆157Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆226Updated last year
- Papers for Bayesian-NN☆325Updated 6 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆237Updated last year
- ☆154Updated 3 years ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆438Updated last week
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,541Updated 4 months ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆497Updated 4 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆454Updated last month
- ☆109Updated 4 years ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- Building a Bayesian deep learning classifier☆490Updated 8 years ago
- Bayesian Deep Learning: A Survey☆518Updated 3 weeks ago
- A hello world Bayesian Neural Network project on MNIST☆47Updated 3 years ago
- ☆250Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆204Updated 3 years ago
- Code for "Effective Bayesian Heteroscedastic Regression with Deep Neural Networks" (NeurIPS 2023)☆21Updated 7 months ago