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"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".
Library of ML-Engineering tools for rapid prototyping and experiment management.
Machine learning development environment for data science and AI/ML engineering teams.
Feature engineering package with SKlearn like functionality.
Python library for automated feature engineering.
Current flagship model for agentic engineering and stronger coding workflows.
Kuwala is the no-code data platform for BI analysts and engineers enabling you to build powerful analytics workflows. We are set out to bring state-of-the-art data engineering tools you love, such as Airbyte, dbt, or Great Expectations together in one intuitive interface built with React Flow. In addition we provide third-party data into data science models and products with a focus on geospatial data. Currently, the following data connectors are available worldwide: a) High-resolution demograph
Open-source all-in-one platform for engineering AI products. Traces, Evals, Datasets, Labels.
A generic approach that allows to mimic most factorization models by feature engineering.
An autonomous agent designed to navigate the complexities of software engineering. opensource.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.
A JavaScript application framework for machine learning and its engineering.