#Hyperparameter-search
Showing 9 of 9 repositories tagged #hyperparameter-search, ranked by stars
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Automated Machine Learning with scikit-learn
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
Sequential model-based optimization with a `scipy.optimize` interface
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
Library for Semi-Automated Data Science
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
Black-box optimization library