Stars
Data Science at the Command Line
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
VIP cheatsheets for Stanford's CS 229 Machine Learning
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
TensorFlow implementation of an arbitrary order Factorization Machine
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
Repo for the Deep Learning Nanodegree Foundations program.
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
CS231N 2017 video subtitles translation project for Korean Computer Science students
한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
A sample code of data augmentation methods for wearable sensor data (time-series data)
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
A curated list of resources for NLP (Natural Language Processing) for Korean