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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Public facing notes page

TensorFlow Tutorials with YouTube Videos

Notebooks and code for the book "Introduction to Machine Learning with Python"

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

line drawing colorization using chainer

Open Content for self-directed learning in data science

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

[DEPRECATED] See the new edition:

fizz buzz in tensorflow

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

SuperComputing 2017 Deep Learning Tutorial

[ko] 패스트캠퍼스 강의 자료

Building an image classifier using keras

《파이썬 머신러닝 완벽 가이드 (개정판)》 예제 코드

[Advanced] Practical Statistical Inference and Machine/Deep Learning for Time Series Forecasting

선형대수와 통계학으로 배우는 머신러닝 with 파이썬

Practical data science notebooks that I used to study at 2016

알고리즘 구현으로 배우는 선형대수 with 파이썬