automl / CAVELinks
[deprecated] Configuration Assessment, Visualization and Evaluation
☆46Updated 3 years ago
Alternatives and similar repositories for CAVE
Users that are interested in CAVE are comparing it to the libraries listed below
Sorting:
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- ☆69Updated 5 years ago
- Starter kit for the black box optimization challenge at Neurips 2020☆113Updated 5 years ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆215Updated 3 weeks ago
- Functional ANOVA☆124Updated 7 months ago
- RoBO: a Robust Bayesian Optimization framework☆490Updated 6 years ago
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆154Updated 4 years ago
- a distributed Hyperband implementation on Steroids☆624Updated 3 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆84Updated 4 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- Reproducing results from DeepMind's paper on Population Based Training of Neural Networks.☆55Updated 7 years ago
- Guided Evolutionary Strategies☆272Updated 2 years ago
- ☆182Updated last year
- A simple, extensible library for developing AutoML systems☆175Updated 2 years ago
- ☆71Updated 4 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.☆342Updated 5 years ago
- Bayesian neural network package☆152Updated 4 years ago
- An interactive framework to visualize and analyze your AutoML process in real-time.☆90Updated last week
- ☆308Updated 4 years ago
- Collection of hyperparameter optimization benchmark problems☆155Updated 5 months ago
- Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates☆115Updated 8 years ago
- Bayesian optimization for Python☆245Updated 3 years ago
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆135Updated 6 years ago
- ☆17Updated 6 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆149Updated last year
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆162Updated 7 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆52Updated 5 months ago