|
Category |
Sub Category |
Name of the Tool |
Brief Description |
URL |
|
Machine Learning and Data Science Tools |
AutoML |
Google AutoML |
Automates the process of training machine learning models. |
https://cloud.google.com/automl |
|
Machine Learning and Data Science Tools |
AutoML |
H2O.ai |
Open-source AutoML platform for building machine learning models. |
https://www.h2o.ai/ |
|
Machine Learning and Data Science Tools |
AutoML |
DataRobot |
Enterprise AI platform for automated machine learning. |
https://www.datarobot.com/ |
|
Machine Learning and Data Science Tools |
AutoML |
AutoKeras |
Open-source AutoML library for deep learning. |
https://autokeras.com/ |
|
Machine Learning and Data Science Tools |
AutoML |
TPOT |
Python-based AutoML tool that optimizes machine learning pipelines. |
https://epistasislab.github.io/tpot/ |
|
Machine Learning and Data Science Tools |
AutoML |
Auto-sklearn |
Automated machine learning toolkit based on scikit-learn. |
https://automl.github.io/auto-sklearn/ |
|
Machine Learning and Data Science Tools |
AutoML |
MLJAR |
AutoML platform for building and deploying machine learning models. |
https://mljar.com/ |
|
Machine Learning and Data Science Tools |
AutoML |
AutoGluon |
Open-source AutoML library for deep learning and tabular data. |
https://autogluon.mxnet.io/ |
|
Machine Learning and Data Science Tools |
AutoML |
Ludwig |
Open-source AutoML framework for deep learning. |
https://ludwig.ai/ |
|
Machine Learning and Data Science Tools |
AutoML |
AutoViML |
Automated machine learning tool for feature engineering and model selection. |
https://github.com/AutoViML/Auto_ViML |
|
Machine Learning and Data Science Tools |
AutoML |
MLBox |
Open-source AutoML library for data preprocessing and model selection. |
https://github.com/AxeldeRomblay/MLBox |
|
Machine Learning and Data Science Tools |
AutoML |
AutoWEKA |
Automated machine learning tool based on WEKA. |
https://www.cs.ubc.ca/labs/beta/Projects/autoweka/ |
