Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

A reference architecture for deploying containerized microservices with Amazon ECS and AWS CloudFormation (YAML)

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision

Interactive and Reactive Data Science using Scala and Spark.

Data Science at the Command Line

Open Content for self-directed learning in data science

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

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

A data science IDE for Python

The Open Source Data Science Masters

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

A complete computer science study plan to become a software engineer.

Proper cross-validation when using imbalanced data

A curated list of awesome READMEs