Name: JoongKyun Kim
Type: User
Company: Seoul National University
Bio: Kakaopay Data scientist
interesed in Computer Vision(Face Anti-spoofing), Reinforcement Learning Application, Machine Learning & Data Analysis
Location: Seoul
JoongKyun Kim's Projects
The official PyTorch implementation of Towards Fast, Accurate and Stable 3D Dense Face Alignment, ECCV 2020.
This repo replicates the results Horgan et al obtained in "Distributed Prioritized Experience Replay"
Boston house price prediction using kaggle dataset
Study materials and example codes for caffe library (http://caffe.berkeleyvision.org/)
cuML - RAPIDS Machine Learning Library
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
joongkyunKim's blog
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
Prometheus exporter for Flask applications
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.