rdturnermtl / bbo_challenge_starter_kitLinks
Starter kit for the black box optimization challenge at Neurips 2020
☆113Updated 4 years ago
Alternatives and similar repositories for bbo_challenge_starter_kit
Users that are interested in bbo_challenge_starter_kit are comparing it to the libraries listed below
Sorting:
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆148Updated 3 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- ☆71Updated 4 years ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- ☆51Updated 10 months ago
- ☆182Updated 10 months ago
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Updated 2 years ago
- ☆69Updated 4 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Code repository for Ensemble Bayesian Optimization☆53Updated 5 years ago
- Bayesian neural network package☆147Updated 3 years ago
- Functional ANOVA☆124Updated 2 months ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago
- Collection of hyperparameter optimization benchmark problems☆146Updated 2 weeks ago
- ☆78Updated 5 years ago
- Exploring Bayesian Optimization☆76Updated 3 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆310Updated 2 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- ☆168Updated 10 months ago
- Bayesian optimization☆37Updated 5 years ago
- ☆194Updated 10 months ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆51Updated 2 weeks ago
- Evolution Strategy Library☆55Updated 4 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆189Updated 2 years ago
- ☆26Updated 7 years ago
- The Differentiable Cross-Entropy Method☆126Updated 4 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆51Updated 5 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆77Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 11 months ago