953 Open source projects that are alternatives of or similar to Docker_tutorial

ML made simple

Interface to use R from Python

IPython widgets, interactive plots, interactive machine learning

Machine learning contest - October 2016 TLE

🔥🐻 The Speakeasy Scripting Engine Which Combines Speed, Safety, and Simplicity

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Tensor Network Learning with PyTorch

A repo for data science related questions and answers

📖 [译] 数据科学和人工智能技术笔记

A blog for data analytics using data science technologies

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Achieve your marketing goals with the data analytics power of Python

Building the Coffee Quality Institute Database

Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).

List of my blog posts in the Medium

Data science and AI solution accelerator suite that provides templates for prototyping, reporting, and presenting data science analytics of specific domains

Python Cheat Sheet NumPy, Matplotlib

The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

A list of colleges and universities offering degrees in data science.

Complete-Life-Cycle-of-a-Data-Science-Project

A curated list of community detection research papers with implementations.

Scalable Data Science, course sets in big data Using Apache Spark over databricks and their mathematical, statistical and computational foundations using SageMath.

Survival analysis in Python

Free and Open Source software for numerical computation providing a powerful computing environment for engineering and scientific applications.

YouTube Like Count Predictions using Machine Learning

Plot your data by Unicode characters

The Raspberry Turk is a robot that can play chess—it's entirely open source, based on Raspberry Pi, and inspired by the 18th century chess playing machine, the Mechanical Turk.

SF Brigade's Data Science Working Group.

Deploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀

A validation library for Pandas data frames using user-friendly schemas

This book serves as an introduction to a whole new way of thinking systematically about geographic data, using geographical analysis and computation to unlock new insights hidden within data.

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Tutorial Sessions for SciPy Con 2019

Blockchain2graph extracts blockchain data (bitcoin) and insert them into a graph database (neo4j).

Data augmentation for NLP

a curated list of R tutorials for Data Science, NLP and Machine Learning

An efficient Python implementation of the Apriori algorithm.

State-of-the art Automated Machine Learning python library for Tabular Data

A Lean Persistent Homology Library for Python

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

Research Software Engineering with Python course material

Bypass Paywalls Clean for Chrome (no Google Analytics, lot of updates and bug-fixes)

Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.

Machine learning fundamentals lesson in interactive notebooks

Readings in applied data science

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

Griffon Data Science Virtual Machine

Developer Cheatsheets

Build a data visualization dashboard with simple snippets of python code

A toolbox for processing and analysing air traffic data

A curated list of awesome scientific Python resources

STUMPY is a powerful and scalable Python library for modern time series analysis

This is a repository which contains all my work related Machine Learning, AI and Data Science. This includes my graduate projects, machine learning competition codes, algorithm implementations and reading material.

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Time Series Cross-Validation -- an extension for scikit-learn

An easy-to-use interface for measuring uncertainty and robustness.

🍰 doddle-model: machine learning in Scala.

Microservice for fetching the latest posts of Medium with GraphQL.