automl / BOAH
BOAH: Bayesian Optimization & Analysis of Hyperparameters
☆67Updated 4 years ago
Alternatives and similar repositories for BOAH:
Users that are interested in BOAH are comparing it to the libraries listed below
- [deprecated] Configuration Assessment, Visualization and Evaluation☆46Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆143Updated 3 years ago
- ☆69Updated 4 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆114Updated 4 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Bayesian neural network package☆141Updated 3 years ago
- Functional ANOVA☆122Updated 2 weeks ago
- Collection of hyperparameter optimization benchmark problems☆145Updated 8 months ago
- An automated machine learning tool aimed to facilitate AutoML research.☆96Updated 5 months ago
- A learning curve benchmark on OpenML data☆30Updated 3 months ago
- Parallelised Thompson Sampling in GPs for Bayesian Optimisation☆36Updated 7 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- ☆75Updated 6 months ago
- ☆71Updated 4 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆83Updated last week
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆207Updated 3 months ago
- ☆49Updated 7 months ago
- Surrogate benchmarks for HPO problems☆27Updated 3 weeks ago
- Re-Examining Linear Embeddings for High-dimensional Bayesian Optimization☆41Updated 3 years ago
- Parameter Importance Analysis Tool☆76Updated 3 years ago
- ☆16Updated 6 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆48Updated 5 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆50Updated 8 months ago
- Learning error bars for neural network predictions☆69Updated 5 years ago
- A Python package for building Bayesian models with TensorFlow or PyTorch☆173Updated 2 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated 8 months ago
- Exploring Bayesian Optimization☆73Updated 3 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆266Updated 5 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆133Updated 6 years ago
- predicting learning curves in python☆43Updated 7 years ago