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The fastai book, published as Jupyter Notebooks
Feature engineering package with sklearn like functionality
Test-Driven Development with Python, Flask, Flask-RESTful, and Docker
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Interactive Tools for Machine Learning, Deep Learning and Math
Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
An ongoing list of pandas quirks
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
Learning Materials for Deep Learning on Azure
Lecture Notes for Linear Algebra Featuring Python
Linus Torvalds' linked list argument for good taste, explained
This is the repository that contains the material of the live learning sessions of the NYC Data Science Academy Online Bootcamp.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A web-based collaborative LaTeX editor
New version of the Pandas + Jupyter workshop
Practical Python Programming (course by @dabeaz)
Code repository for O'Reilly book
Curated list of project-based tutorials
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.