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🔔 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
☁️ Export Ploomber pipelines to Kubernetes (Argo), Airflow, AWS Batch, SLURM, and Kubeflow.
The main features of ploomber/soopervisor are: Simplification Tools.
Projects with overlapping indexed features include: a3data/hermione — ML made simple. aporia-ai/mlnotify — 🔔 No need to keep checking your training - just one import line and you'll know the second it's done. apple/turicreate — This project is an automated machine learning framework and toolkit designed for training and tuning custom models for… databricks/koalas — Koalas: pandas API on Apache Spark. facebookresearch/hydra — Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex… jrieke/traingenerator — 🧙 A web app to generate template code for machine learning.
