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A topic-centric list of HQ open datasets.
Practical Exercises in TensorFlow 2.0 for Ian Goodfellows Deep Learning Book
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
:balloon: Problems solved during practice for ICPC
Keras implementations of Generative Adversarial Networks.
Free O Reilly Books
Stanford Machine Learning course exercises implemented with scikit-learn
Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.
Practice your pandas skills!
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Python Data Science Handbook: full text in Jupyter Notebooks
Jupyter notebooks from the scikit-learn video series
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
Jupyter notebooks for learning how to use SimpleITK
VIP cheatsheets for Stanford's CS 229 Machine Learning
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.