Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

Build your neural network easy and fast, 莫烦Python中文教学

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Experiments with Deep Learning

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Simple tutorials for building neural networks with TensorFlow Eager mode.

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

A set of simple examples ported from PyTorch for Tensorflow Eager Execution

Summary (in Korean) and python implementation of 'Reinforcement Learning: An Introduction' written by Sutton & Barto

TensorFlow-KR 그룹에서는 논문읽기 모임인 PR12이 진행되고 있는데요. 여기서 다뤄지고 있는 모델을 케라스로 구현하고자 합니다.

Python을 활용한 텍스트 분석 실무를 위한 과정에 대해 다룹니다.