slds-lmu / yahpo_gym
Surrogate benchmarks for HPO problems
☆27Updated last week
Alternatives and similar repositories for yahpo_gym:
Users that are interested in yahpo_gym are comparing it to the libraries listed below
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆24Updated 11 months ago
- Launching and monitoring Slurm experiments in Python☆16Updated this week
- A learning curve benchmark on OpenML data☆30Updated 2 months ago
- [NeurIPS DBT 2021] HPO-B☆28Updated 6 months ago
- Collection of hyperparameter optimization benchmark problems☆145Updated 8 months ago
- In-context Bayesian Optimization☆15Updated last month
- ☆73Updated 6 months ago
- Code accompanying https://arxiv.org/abs/1802.02219☆17Updated 2 years ago
- ☆14Updated 2 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆81Updated this week
- [ICLR 2021] Few Shot Bayesian Optimization☆18Updated 2 years ago
- ☆15Updated 4 months ago
- ☆12Updated 2 months ago
- [TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy☆17Updated 2 months ago
- Bayesian Optimization with Density-Ratio Estimation☆23Updated 2 years ago
- Code repository for Ensemble Bayesian Optimization☆52Updated 5 years ago
- ☆23Updated 2 years ago
- The first collection of surrogate benchmarks for Joint Architecture and Hyperparameter Search.☆15Updated last year
- [ICML'21] Think Global and Act Local: Bayesian Optimisation for Categorical and Mixed Search Spaces☆30Updated 2 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆143Updated 3 years ago
- Bayesian neural network package☆141Updated 3 years ago
- Code for the Population-Based Bandits Algorithm, presented at NeurIPS 2020.☆20Updated 3 years ago
- Bayesian Optimisation over Multiple Continuous and Categorical Inputs (CoCaBO)☆47Updated 5 years ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆69Updated this week
- Pre-trained Gaussian processes for Bayesian optimization☆90Updated 2 months ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 4 years ago
- A Framework for Comparing N Hyperparameter Optimizers on M Benchmarks.☆11Updated this week
- Bayesian Neural Network Surrogates for Bayesian Optimization☆48Updated 9 months ago
- [KDD 2023] Deep Pipeline Embeddings for AutoML☆15Updated 3 months ago
- Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression☆12Updated 2 years ago