automl / DeepCAVELinks
An interactive framework to visualize and analyze your AutoML process in real-time.
☆94Updated this week
Alternatives and similar repositories for DeepCAVE
Users that are interested in DeepCAVE are comparing it to the libraries listed below
Sorting:
- ☆91Updated 2 weeks ago
- Collection of hyperparameter optimization benchmark problems☆160Updated 8 months ago
- Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.☆79Updated this week
- An automated machine learning tool aimed to facilitate AutoML research.☆102Updated last year
- Surrogate benchmarks for HPO problems☆31Updated 8 months ago
- scikit-activeml: A Comprehensive and User-friendly Active Learning Library☆184Updated last week
- Launching and monitoring Slurm experiments in Python☆22Updated 6 months ago
- A learning curve benchmark on OpenML data☆33Updated last year
- Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks☆157Updated 4 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- In-context Bayesian Optimization☆16Updated 2 months ago
- Python Meta-Feature Extractor package.☆139Updated 5 months ago
- The PyExperimenter is a tool for the automatic execution of experiments, e.g. for machine learning (ML), capturing corresponding results …☆38Updated 4 months ago
- A build-it-yourself AutoML Framework☆73Updated last year
- Pre-trained Gaussian processes for Bayesian optimization☆100Updated last month
- A Bayesian optimization toolbox built on TensorFlow☆248Updated 3 weeks ago
- A Python library for machine-learning and feedback loops on streaming data☆64Updated 2 years ago
- The official implementation of PFNs4BO: In-Context Learning for Bayesian Optimization☆39Updated 4 months ago
- Domain specific language for configuration spaces in Python. Useful for hyperparameter optimization and algorithm configuration.☆218Updated last month
- Our maintained PFN repository. Come here to train SOTA PFNs.☆133Updated 3 weeks ago
- Official repository for the paper "Zero-Shot AutoML with Pretrained Models"☆48Updated 2 years ago
- CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms☆298Updated 2 years ago
- PyHopper is a hyperparameter optimizer, made specifically for high-dimensional problems arising in machine learning research.☆85Updated 2 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆88Updated 2 years ago
- ☆88Updated 7 months ago
- Fast and incremental explanations for online machine learning models. Works best with the river framework.☆55Updated last year
- A Python package for building Bayesian models with TensorFlow or PyTorch☆177Updated 3 years ago
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆370Updated last week
- ☆14Updated 3 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Updated 2 years ago