distillpub / post--bayesian-optimizationLinks
Exploring Bayesian Optimization
☆76Updated 3 years ago
Alternatives and similar repositories for post--bayesian-optimization
Users that are interested in post--bayesian-optimization are comparing it to the libraries listed below
Sorting:
- ☆30Updated 2 years ago
- Talks from Neil Lawrence☆54Updated last year
- This repository contains the code for the method GPUCB-UBO proposed in the paper 'Bayesian Optimization with Unknown Search Space', NeurI…☆9Updated 5 years ago
- Bayesian neural network package☆148Updated 4 years ago
- A curated list of resources for learning Gaussian Processes☆40Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆52Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)☆41Updated 3 years ago
- Various code/notebooks to benchmark different ways we could estimate uncertainty in ML predictions.☆42Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆121Updated 3 years ago
- predicting equations from raw data with deep learning☆56Updated 6 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 4 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- This repository contains implementations of some basic sampling methods in numpy.☆67Updated 5 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 9 months ago
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆54Updated 3 years ago
- ☆110Updated 4 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- Benchmark functions for Bayesian optimization☆33Updated last year
- TensorFlow Probability Tutorial☆37Updated 5 years ago
- Some small scale experiments for my blog posts 📝☆79Updated 3 years ago
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆151Updated 4 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2020☆33Updated 2 years ago
- MLSS2019 Tutorial on Bayesian Deep Learning☆93Updated 5 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago