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Slides and talk assets from PyCon 2017
🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)
Keras Implementation of 3D Encoder-Decoder Generative Adversarial Network (3D-ED-GAN) for 3D shape Completion
Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset
A curated list of awesome computer vision resources
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of resources for NLP (Natural Language Processing) for Korean
Deutsch: Bass Difussion anhang von Steam Spy Absatzzahlen
Bayesian Analysis with Python by Packt
빅콘테스2016
:books: Books worth reading
KoNLP, nltk, doc2vec, Gensim 을 통한 리뷰를 긍정, 부정으로 분류
Repo for coursera specialization Applied Data Science with Python by University of Michigan
Public facing notes page
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
A curated collection of free Deep Learning related eBooks
A curated collection of free Docker related eBooks
A curated collection of free Machine Learning related eBooks
A curated collection of free eBooks about Python
Hack University's [Data Science course](http://www.hackoregon.org/database-cohort), sponsored by [Hack Oregon](http://hackoregon.org)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube
Materials for the Text Mining workshop held in the HuNLP meetup, June 2017
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Labs and Applied Exercises to "An Introduction to Statistical Learning" in Python
The solutions of the book "An Introduction to Statistical Learning with Applications in R" with Jupyter Notebook
Python notebooks for exercises in An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani
한국어 감성 분석기
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.