Reverse Dependencies of smac

The following projects have a declared dependency on smac:

• alphad3m — AlphaD3M: NYU's AutoML System
• Auto-Sklong — A package for automated machine learning based on scikit-learn and sklong to tackle the longitudinal machine learning classificationt tasks.
• auto-verify — Efficient portfolio-based verification of neural network properties
• autonml — AutonML : CMU's AutoML System
• autoPyTorch — Auto-PyTorch searches neural architectures using smac
• diego — Diego: Data IntElliGence Out.
• Gedi — Generating Event Data with Intentional Features for Benchmarking Process Mining
• hydra-smac — Hydra + SMAC
• HyperSweeper — Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
• lale — Library for Semi-Automated Data Science
• lkauto — LensKit-Auto is built as a wrapper around the Python LensKit recommender-system library. It automates algorithm selection and hyper parameter optimization an can build ensemble models based on the LensKit models.
• llamea — no summary
• mlos-bench — MLOS Bench Python interface for benchmark automation and optimization.
• mlos-core — MLOS Core Python interface for parameter optimization.
• nevergrad — A Python toolbox for performing gradient-free optimization
• opof — Open-source framework for solving the Planner Optimization Problem
• pytabkit — ML models + benchmark for tabular data classification and regression
• sam-ml-py — a library for ML programing created by Samuel Brinkmann
• slideflow — Deep learning tools for digital histology
• syne-tune — Distributed Hyperparameter Optimization on SageMaker
• twinbooster — Python package for TwinBooster: Synergising Chemical Structures and Bioassay Descriptions for Enhanced Molecular Property Prediction in Drug Discovery