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Free MLOps course from DataTalks.Club
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
An ongoing list of pandas quirks
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
halfrost / docker_practice
Forked from yeasy/docker_practiceLearn and understand Docker technologies, with real DevOps practice!
Apache Beam is a unified programming model for Batch and Streaming data processing.
📌 📚 Solution of competitive programming problems, code templates, Data Structures and Algorithms, hackathons, interviews and much more.
170+ solutions to Hackerrank.com practice problems using Python 3, С++ and Oracle SQL
Public runnable examples of using John Snow Labs' NLP for Apache Spark.
Collection of publicly available libraries
[RETIRED] See Voilà as a supported replacement
📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.
The personal website/portfolio template by Hashir Shoaib. Built using React and Bootstrap.
Personal branding theme for developers
[DISCONTINUED] Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Minimal is a Jekyll theme for GitHub Pages
Concourse resource for interacting with AWS S3
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code and write-ups for udacity MLE projects.