Awesome Blogs
Section: Awesome AutoDL Libraies
Entry
Appears in 5 awesome lists
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (archived)
Section: Awesome AutoDL Libraies
Section: AutoML · An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Section: AutoML · An open source AutoML toolkit for automate machine learning lifecycle.
Section: Machine Learning Frameworks · An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning. (archived)
Section: Python Frameworks, Libraries, and Tools · is an open source AutoML toolkit for automate machine learning lifecycle, including Feature Engineering, Neural Architecture Search, Model Compression and Hyperparameter Tuning.
MindsDB is an Explainable AutoML framework for developers. With MindsDB you can build, train and use state of the art ML models in as simple as one line of code.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.
AutoML to easily produce accurate predictions for image, text, tabular, time-series, and multi-modal data