Showing 161-180 of 380 projects
Maestro is Netflix's workflow orchestrator for building data pipelines and batch processing workflows.
Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.
Interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
A comprehensive collection of AI-powered tools, techniques, and resources for building advanced data-driven applications.
A collection of cool Python features and tutorials for machine learning and data science.
An open-source, modern-design AI training tracking and visualization tool with support for various ML frameworks.
A comprehensive machine learning and data science course with Jupyter Notebook materials.
A comprehensive collection of 150+ Python programs for quantitative finance and stock market data analysis.
Ploomber is a fast and versatile tool for building and deploying data pipelines that can be used with a variety of AI and ML tools.
A Python library that makes it easy for data scientists to create charts and visualizations.
Handwritten notes for Andrew Ng's Coursera Machine Learning course, a popular resource for learning AI/ML.
An easy-to-use blogging platform with enhanced support for Jupyter Notebooks, ideal for data scientists and AI developers.
A code-first introduction to natural language processing (NLP) using Python and Jupyter Notebooks.
A powerful debugging, monitoring and visualization tool for Python Machine Learning and Data Science workflows.
Machine learning tutorials in Python3 for data science and deep learning
A desktop application for viewing and analyzing tabular data, with support for CSV, Parquet, and DuckDB.
High-performance symbolic regression library for Python and Julia, with support for explainable AI.
Koalas is a pandas-like API for Apache Spark, enabling data scientists to work with big data using familiar pandas syntax.
A pure Python web app framework that allows developers to build apps without JavaScript, HTML, or CSS.
A light-hearted yet rigorous approach to learning about impact estimation and causality in Python.
Get weekly updates on trending AI coding tools and projects.