Tags: #data-science

A human-centric Python framework for building, managing, and deploying real-life AI/ML systems from rapid prototyping to reliable production.

DeepAnalyze is an agentic LLM that autonomously performs data science tasks, generating professional analysis reports with a single click.

A Python framework for building reproducible, maintainable, and modular data engineering and data science pipelines using software engineering best practices.

Taipy is a Python library that empowers data scientists and machine learning engineers to rapidly transform their data and AI algorithms into production-ready web applications.

An open-source, multi-type data labeling and annotation tool with a simple UI and standardized output, designed to prepare and improve data for machine learning models.

Automates data-driven AI R&D processes using AI agents, excelling in machine learning engineering tasks.

A comprehensive toolkit providing best practices, examples, and state-of-the-art algorithms to assist in prototyping, experimenting with, and operationalizing recommendation systems.

A comprehensive Python library for multi-modal anomaly detection, featuring 60+ algorithms and agentic AI capabilities for scalable, expert-level investigations.

A comprehensive, open-source repository of Data Science learning resources and tools for real-world problem-solving.

A free 9-week online course from DataTalks.Club, designed to teach the fundamentals of MLOps, from experimentation to deployment and monitoring.

A Python framework for building interactive data science web applications and dashboards without requiring JavaScript.