automl / pybnnLinks
Bayesian neural network package
☆152Updated 4 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☆111Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 6 years ago
- Code repository for Ensemble Bayesian Optimization☆55Updated 6 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 8 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- ☆212Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆74Updated 3 years ago
- Gaussian processes with PyTorch☆30Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- ☆155Updated 3 years ago
- Collection of hyperparameter optimization benchmark problems☆156Updated 5 months ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- The High-dimensional BayesOpt algorithms from "A Framework for Bayesian Optimization in Embedded Subspaces☆43Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Bayesian Neural Network in PyTorch☆91Updated last year
- Learning error bars for neural network predictions☆72Updated 5 years ago
- ☆23Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆43Updated 4 years ago
- ☆50Updated last year
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆31Updated 2 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 7 years ago