Harry24k / bayesian-neural-network-pytorchLinks
PyTorch implementation of bayesian neural network [torchbnn]
☆533Updated 10 months ago
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☆593Updated last month
- A simple and extensible library to create Bayesian Neural Network layers on PyTorch.☆959Updated last year
- A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Ba…☆128Updated 3 years ago
- ☆238Updated 5 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆449Updated 9 months ago
- Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.☆1,500Updated last year
- Papers for Bayesian-NN☆323Updated 5 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆628Updated 2 years ago
- Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more☆1,895Updated last year
- Laplace approximations for Deep Learning.☆505Updated last month
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆465Updated last year
- ☆153Updated 2 years ago
- A hello world Bayesian Neural Network project on MNIST☆44Updated 3 years ago
- Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.☆219Updated 11 months ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Bayesian Deep Learning: A Survey☆514Updated 6 months ago
- Open-source framework for uncertainty and deep learning models in PyTorch☆393Updated last week
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆217Updated 7 months ago
- Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"☆272Updated 3 years ago
- ☆241Updated 2 years ago
- Bayesian Neural Network in PyTorch☆87Updated last year
- Pytorch implementation of Neural Processes for functions and images☆230Updated 3 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆573Updated 3 years ago
- PyTorch implementation of normalizing flow models☆842Updated 9 months ago
- This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble☆154Updated 2 years ago
- An Intuitive Tutorial to Gaussian Processes Regression☆603Updated last year
- Normalizing flows in PyTorch☆920Updated 5 months ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆234Updated 6 years ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆436Updated last year
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,511Updated last month