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Collection of contributions to and resources for the first #30DayChartChallenge in April 2021
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Data_scrapping_subastas_BOE
🤓 Build your own (insert technology here)
An R package for setting up a website to display analysis of Twitter hashtags
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
Carefully curated resource links for data science in one place
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets
Toturial coming with "data science roadmap" graphe.
Open Source Data Science Resources.
The Leek group guide to data sharing
Flask/React client for visualizing pandas data structures
Free resources for learning data science
:books: Freely available programming books
A collection of useful .gitignore templates
A curated list of applied machine learning and data science notebooks and libraries across different industries.
A booklet on machine learning systems design with exercises
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
Companion webpage to the book "Mathematics For Machine Learning"
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Predicting the end of comics serialized in weekly shonen jump, one of the most popular comic magazines in Japan.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A collective list of free APIs for use in software and web development.
Python Data Science Handbook: full text in Jupyter Notebooks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.