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awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

azure-quickstart-templates

Azure Quickstart Templates

azure-tdsp-projecttemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for our the course I for the ColumbiaX series on Data Science and Analytics on edX.

course-v3

The 3rd edition of course.fast.ai

course20

Deep Learning for Coders, 2020, the website

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

courses-1

fast.ai Courses

datasciencespcoursenotes

Compiled Notes for all 9 courses in the Coursera Data Science Specialization

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

deakin-simpsons-challenge2021

The Deakin Simpsons challenge 2021 is a computer vision competition for which the goal is to recognize Simpsons characters individually in images using machine learning/deep learning. The challenge is designed to provide students with the opportunity to work as team members, to compete with each other, and to enhance the student learning experience by improving their AI modeling, problem-solving, and team-working skills.

deep-learning-with-r-notebooks

R notebooks for the code samples of the book "Deep Learning with R"

deeplearning_keras2

Modification of fast.ai deep learning course notebooks for usage with Keras 2 and Python 3.

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

ebook-1

ec2-spotter

Utility for making Spot Instance root disk persistence behave like On Demand instances.

fastai

The fastai deep learning library, plus lessons and tutorials

fastai-v2-setup

fastbook

The fastai book, published as Jupyter Notebooks

fastclass

Little tools to download and then weed through images, delete and classify them into groups for building deep learning image datasets (based on crawler and tkinter)

fitbitscraper

R package to scrape fitbit data

free-data-science-books

Free resources for learning data science

free-programming-books

:books: Freely available programming books

ggplot2-tutorial

Teaching materials for the R package ggplot2

machine-learning-collection

PyTorch Tutorials, TensorFlow Tutorials and Machine Learning Algorithms

neural-nets

Programming Assignments and Lectures for Geoffrey Hinton's "Neural Networks for Machine Learning" Coursera course

nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

openintro-statistics

An open-source textbook written at the college level. OpenIntro also offers a second college-level intro stat textbook and also a high school variant.