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2017-slides

Slides and talk assets from PyCon 2017

3d-recgan-extended

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

3d_shape_inpainting

Keras Implementation of 3D Encoder-Decoder Generative Adversarial Network (3D-ED-GAN) for 3D shape Completion

ai-sentiment-analysis-on-imdb-dataset

Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-korean-nlp

A curated list of resources for NLP (Natural Language Processing) for Korean

bass-diffusion-model-for-short-life-cycle-products-sales-prediction

bass-difussion-modell-with-python

Deutsch: Bass Difussion anhang von Steam Spy Absatzzahlen

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

bigcontest2016

빅콘테스2016

books

:books: Books worth reading

classify_comment_emotion

KoNLP, nltk, doc2vec, Gensim 을 통한 리뷰를 긍정, 부정으로 분류

coursera-applied-data-science-with-python

Repo for coursera specialization Applied Data Science with Python by University of Michigan

cs231n.github.io

Public facing notes page

dbda-python

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

free-deep-learning-books

A curated collection of free Deep Learning related eBooks

free-docker-books

A curated collection of free Docker related eBooks

free-machine-learning-books

A curated collection of free Machine Learning related eBooks

free-python-books

A curated collection of free eBooks about Python

hack-university-data-science

Hack University's [Data Science course](http://www.hackoregon.org/database-cohort), sponsored by [Hack Oregon](http://hackoregon.org)

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

how_to_do_sentiment_analysis

This is the code for 'How to Do Sentiment Analysis' #3 - Intro to Deep Learning by Siraj Raval on Youtube

hungarian-text-mining-workshop

Materials for the Text Mining workshop held in the HuNLP meetup, June 2017

introduction-datascience-python-book

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

isl-python

Labs and Applied Exercises to "An Introduction to Statistical Learning" in Python

islr

The solutions of the book "An Introduction to Statistical Learning with Applications in R" with Jupyter Notebook

islr-python-notebooks

Python notebooks for exercises in An Introduction to Statistical Learning by James, Witten, Hastie and Tibshirani

koreansentimentanalyzer

한국어 감성 분석기