2.8
Features:
Automatic data pre-processing, feature engineering, and encoding Classification, regression, time-series tasks Bring models to production without “traditional deployment” as AI Tables Get models’ accuracy scoring and confidence intervals for each prediction Join ML models with existing data Anomaly detection Model explainability analysis GPU support for models’ training Open JSON-AI syntax to build models and bring your ML blocks in a declarative way
A full-stack, syncing database that runs on both server and client. Pluggable storage (indexeddb, sqlite, durable objects), syncs over websockets, and works with your favorite framework (React, Solid, Vue, Svelte).
Self-Hosted
Software as a Service SaaS
ml
MySQL
automl
pytorch
snowflake
clickhouse
singlestore
Postgres SQL
hacktoberfest
explainable-ml
explainable-ai
Machine Learning
machine-learning-api
Artificial intelligence
Open Source and Free Personal product.
English