automl / pybnnLinks
Bayesian neural network package
☆147Updated 3 years ago
Alternatives and similar repositories for pybnn
Users that are interested in pybnn are comparing it to the libraries listed below
Sorting:
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Deep neural network kernel for Gaussian process☆206Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆84Updated 4 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆41Updated 5 years ago
- Learning error bars for neural network predictions☆70Updated 5 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 11 months ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆89Updated 4 years ago
- Deep Gaussian Processes in Python☆233Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆148Updated 3 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Collection of hyperparameter optimization benchmark problems☆146Updated 2 weeks ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆269Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆125Updated 7 months ago
- ☆153Updated 2 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 3 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 6 years ago
- ☆194Updated 10 months ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆39Updated 3 years ago
- Hypergradient descent☆148Updated last year
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago