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DuckDB-powered Postgres for high performance apps & analytics.
A blazing fast AI Gateway with integrated guardrails. Route to 200+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.
General technology for enabling AI capabilities w/ LLMs and MLLMs
🦜🔗 Build context-aware reasoning applications
Simple DDL Parser to parse SQL (HQL, TSQL, AWS Redshift, BigQuery, Snowflake and other dialects) ddl files to json/python dict with full information about columns: types, defaults, primary keys, et…
Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
Dora is an experiment management framework. It expresses grid searches as pure python files as part of your repo. It identifies experiments with a unique hash signature. Scale up to hundreds of exp…
Code for the paper Hybrid Spectrogram and Waveform Source Separation
Extensible Rules Engine for custom Dataframe / Dataset validation
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
An Industrial Graph Neural Network Framework
Learn2Clean: Optimizing the Sequence of Tasks for Data Preparation and Cleaning
A collection of demos showcasing automated feature engineering and machine learning in diverse use cases
A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.
Featuretools' DFS as a scikit-learn transformer
Monitor the stability of a Pandas or Spark dataframe ⚙︎
That is the code corresponding to paper "Towards Automatic Complex Feature Engineering" in WISE
Feature engineering package with sklearn like functionality
Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
DuckDB is an analytical in-process SQL database management system