Showing 1-20 of 31 projects
Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.
Interactive deep learning book with code and math
An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.
Optuna is a hyperparameter optimization framework that enables efficient and scalable model tuning for machine learning.
The AI developer platform to train and fine-tune models, and manage models from experimentation to production.
Fast and accurate machine learning framework that can build models in just 3 lines of Python code.
A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.
Easily run, manage, and scale AI workloads on any infrastructure using a unified platform.
AutoKeras is an open-source AutoML library for deep learning that automates the model selection and hyperparameter tuning process.
Automated Machine Learning with scikit-learn
Distributed Asynchronous Hyperparameter Optimization in Python for machine learning models.
A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.
Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.
Keras Tuner is a hyperparameter optimization library that helps developers find the best neural network architecture and hyperparameters for their Keras models.
A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.
Automated architecture search and hyperparameter optimization for PyTorch models.
A Python library that provides a simple wrapper for hyperparameter optimization using Keras and Hyperopt.
A comprehensive machine learning library for R, providing a unified interface to a wide range of algorithms.
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