Projects sharing features with Hermione

🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

This project is an automated machine learning framework and toolkit designed for training and tuning custom models for classification, regression, and recommendations. It functions as a multimodal machine learning toolkit capable of processing and training models using a combination of text, image, audio, and sensor data. The framework distinguishes itself as a multimodal data processor that can handle and visualize large datasets on a single machine using column-oriented disk storage. It includes a core machine learning model generator that converts trained models into formats compatible wit

Koalas: pandas API on Apache Spark

Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex application settings through composable configuration files and command-line overrides, ensuring that configuration values match expected data types during instantiation. The framework functions as a dynamic object instantiator that creates class instances directly from hierarchical configuration values and nested objects. It also operates as a hyperparameter sweep orchestrator and cluster job launcher, enabling the execution of multiple application runs across parameter range