# AutoML Tools Automated Machine Learning (AutoML) is an emerging field in which the process of building machine learning models to model data is automated. [Platform products for Machine Learning](https://towardsdatascience.com/platform-products-for-machine-learning-3d3749443d2) [Considerations for Deploying Machine Learning Models in Production](https://www.anyscale.com/blog/considerations-for-deploying-machine-learning-models-in-production) Here is a list of AutoML tools that I have found to be helpful for AI/ML engineering: [GitHub Lists](https://github.com/codecypher?tab=stars) ## Quick Start - Orange - AutoGluon - auto-sklearn - AutoKeras - Auto-ViML - AutoViz - H2O - SpeedML ## AutoML Tools - Orange - AutoGluon - AutoKeras - auto-sklearn - Auto-ViML - AutoViz - FLAML - H2O - SpeedML - PyCaret - Hydra - Kale - MediaPipe - Ray ### EDA - AutoViz - Dataprep ### Tutorials [H2O Docs](https://docs.h2o.ai/) [H2O Tutorials](https://github.com/h2oai/h2o-tutorials) [H2O Deep Learning](https://github.com/h2oai/h2o-tutorials/tree/master/tutorials/deeplearning) [Automated Machine Learning with H2O (towardsdatascience)](https://towardsdatascience.com/automated-machine-learning-with-h2o-258a2f3a203f) [Auto-Sklearn for Automated Machine Learning in Python](https://machinelearningmastery.com/auto-sklearn-for-automated-machine-learning-in-python/) [Why AutoML Is An Essential New Tool For Data Scientists](https://towardsdatascience.com/why-automl-is-an-essential-new-tool-for-data-scientists-2d9ab4e25e46) [AutoViz: A New Tool for Automated Visualization](https://towardsdatascience.com/autoviz-a-new-tool-for-automated-visualization-ec9c1744a6ad) ### SageMaker SageMaker is a machine learning environment that simplifies the work of an ML developer by providing tools for extra fast model building and deployment. In 2021, Amazon launched SageMaker Studio, the first integrated IDE for machine learning that provides a web interface to monitor all possible aspects of the life cycle of an ML model, basicslly Jupyter on steroids. SageMaker is closely integrated into the AWS cloud and it also offers data labeling software and other features. ## MLOps Tools - MLFlow - wandb ### wandb Weights and biases (W&B/wandb) lets you track, compare, visualize, and optimize machine learning experiments with just a few lines of code. wandb also lets you track your datasets. Using W&B's lightweight tools, you can quickly track experiments, version and iterate on datasets, evaluate model performance, reproduce models, visualize results and spot regressions, and share findings with colleagues. ### Tutorials [Tutorial](https://www.mlflow.org/docs/latest/tutorials-and-examples/tutorial.html) ## Time Series Libraries - AutoGluon - AutoKeras - AutoTS - mlforecast - TimeSynth - TimeGAN - Gretel.ai The three major statistical forecasting packages for python are: StatsForecast, Sktime, and DARTS. ## References [1]: [wandb](https://docs.wandb.ai/)