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Name: A
Type: User
Bio: This is Test/Copy Repo
Answers to 120 commonly asked data science interview questions.
Code and hyperparameters for the paper "Generative Adversarial Networks"
A curated list of community detection techniques.
:memo: An awesome Data Science repository to learn and apply for real world problems.
TensorFlow code and pre-trained models for BERT
Bayesian Poisson tensor factorization
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017
Stanford CS224n: Natural Language Processing with Deep Learning, Winter 2020
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See,感谢所有助教!
Code for the Default Final Project (SQuAD) for CS224n, Winter 2018
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
Stanford CS229 (Autumn 2017)
Implements of cs229(Machine Learning taught by Andrew Ng) in python.
code for Data Science From Scratch book
Data science interview questions with answers. Not ideally (yet)
Data Science Questions and Answers (General) for beginner
A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/
Code material for a data science tutorial
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
Algorithm from The Elements of Statistical Learning book implement by Python 3 code
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.