Data Engineering Practice Problems is a GitHub repository or organization with source code, releases, documentation, or project resources.
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Data Engineering Zoomcamp is a GitHub repository or organization with source code, releases, documentation, or project resources.
Data Science Ipython Notebooks is a GitHub repository or organization with source code, releases, documentation, or project resources.
A GitHub Repository Where you can Learn Datavisualizatoin Basics to Intermediate level.
A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
A PyTorch implementation of CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation".
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Design Pattern for Humans is a GitHub repository or organization with source code, releases, documentation, or project resources.
Train and run a computer vision model with 5-10 lines of code.
Developer Roadmap is a GitHub repository or organization with source code, releases, documentation, or project resources.
Devops Exercises is a GitHub repository or organization with source code, releases, documentation, or project resources.
Dice Cloud is a GitHub repository or organization with source code, releases, documentation, or project resources.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
DnD-Books is a GitHub repository or organization with source code, releases, documentation, or project resources.
Many useful features that aren't part of the main nn package.
Python library for scalable Bayesian optimisation.
Driftly is a GitHub repository or organization with source code, releases, documentation, or project resources.
Drone Logbook is a GitHub repository or organization with source code, releases, documentation, or project resources.
Reading Wikipedia to answer open-domain questions.
High performance library for time series distances (DTW) and time series clustering.
Design and Deploy Large Language Model Apps.
Python library for experiment metrics logging into simply formatted local files.
An evolutionary optimization library.