Stars
It is said that, Ilya Sutskever gave John Carmack this reading list of ~ 30 research papers on deep learning.
Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team co…
An extension of xarray for climate data analysis on structured grids.
Autonomous beach cleaning robot platform powered by computer vision and ML for marine waste detection and collection.
An implementation of chunked, compressed, N-dimensional arrays for Python.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D engine that enables developers and content creators to build AAA games, cinema-quality 3D worlds, and high-fidelity simulations wit…
Real-time logging dashboard for Kubernetes. View logs in a terminal or a browser. Run on your desktop or in your cluster.
This is a repo with links to everything you'd ever want to learn about data engineering
All Algorithms implemented in Python
Machine learning for beginners
📝 An awesome Data Science repository to learn and apply for real world problems.
Repository with training material to learn all about Azure Functions <⚡>
Python best practices guidebook, written for humans.
Sample base images for Databricks Container Services
Roadmap to becoming a data engineer in 2021
Professional program offered by MIT xPRO.
Notes and code from Data Science and Big Data Analytics: Making Data-Driven Decisions, a course by MIT xPro.
A collection of (mostly) technical things every software developer should know
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Deep Learning Specialization by Andrew Ng on Coursera.
📊 Path to a free self-taught education in Data Science!
A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.
A brief guide to install and run Jupyter/IPython notebooks
Open Content for self-directed learning in data science