Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
☆162Oct 17, 2020Updated 5 years ago
Alternatives and similar repositories for docker-for-data-science-tutorial
Users that are interested in docker-for-data-science-tutorial are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A repo of sample data for our PyData Tutorial!☆16Mar 29, 2016Updated 10 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆119May 16, 2026Updated 3 weeks ago
- Code, slides, and documentation for the talks I have given.☆113Jun 14, 2025Updated last year
- Tutorial given at PyData LA 2018☆96Aug 21, 2024Updated last year
- Slides for my PyData NYC 2017 talk.☆14Mar 3, 2018Updated 8 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Neural network + training framework in Golang☆20Jun 20, 2020Updated 5 years ago
- ☆36Oct 29, 2018Updated 7 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆46Aug 20, 2019Updated 6 years ago
- Working with data that contain geographic locations☆20Jul 13, 2017Updated 8 years ago
- A collection of examples and best practices for AngularJS projects☆15Apr 8, 2014Updated 12 years ago
- What part of a song is better at determining it's music genre - the music (audio features) or the lyrics (NLP) ?☆14Jan 2, 2023Updated 3 years ago
- Summaries and notes on Deep Learning research papers☆33Apr 9, 2016Updated 10 years ago
- ☆10Aug 26, 2016Updated 9 years ago
- Presentations from LF AI & Data to share and reuse.☆27Jun 24, 2025Updated 11 months ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Seed project - Angular driven web app demo with Gulp, Bower and Browserify for app workflow management☆11Jul 14, 2016Updated 9 years ago
- Material for the MASH course on introduction to scikit-learn☆16Apr 15, 2017Updated 9 years ago
- Slides and talk assets from PyCon 2017☆428Jun 2, 2017Updated 9 years ago
- Data Science in 30 Minutes #5: Spark☆19Jan 11, 2017Updated 9 years ago
- Subset Met Office MOGREPS-UK and UKV on AWS EC2☆12Oct 22, 2021Updated 4 years ago
- It's a Github Repo to get an understanding on various pre-processing steps required in Machine Learning before we build Machine Learning …☆29Jul 23, 2019Updated 6 years ago
- Scrape various open data directories to create an index of what's available out there☆38Feb 13, 2025Updated last year
- Mastering Machine Learning on AWS, published by Packt☆47Jan 30, 2023Updated 3 years ago
- Developing a Lambda Architecture pipeline using Apache Kafka, Spark Structured Streaming, Redshift, S3, Python☆22Mar 8, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆89Feb 9, 2021Updated 5 years ago
- This repository contains all code examples for my TensorFlow World talk about "Advanced model deployments with TensorFlow Serving"☆17Dec 8, 2022Updated 3 years ago
- sagemaker mammography tko workshop☆11Apr 18, 2020Updated 6 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆222Mar 8, 2021Updated 5 years ago
- Talks at PyData Bangalore meetups☆35Feb 1, 2025Updated last year
- A package that provides a "mother" Shiny app to create "children" Shiny apps without writing one single line of code☆12Feb 17, 2020Updated 6 years ago
- PyTorch implementation for the Neural Logic Machines (NLM).☆12May 7, 2019Updated 7 years ago
- ☆110May 9, 2016Updated 10 years ago
- ☆23Dec 15, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Set up an automated data science environment using Docker☆14Oct 2, 2018Updated 7 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆41Oct 21, 2018Updated 7 years ago
- Introduction to Python for Data Science☆39Nov 2, 2017Updated 8 years ago
- Code for personal blog. Built using Astro☆12May 15, 2026Updated last month
- Visualization of the Ordinary Least Squares estimation of slope for a simple linear model☆14Jun 8, 2018Updated 8 years ago
- Slides and code for the PyData Berlin 2018 tutorial☆16Nov 21, 2022Updated 3 years ago
- Accompanying R scripts for tutorials in our new data science book, Numsense!☆16Apr 1, 2017Updated 9 years ago