Name: Junhyun Park
Type: User
Company: UNIST AIGS, LIM Lab
Bio: M.S. in Artificial Intelligence (~Aug. 2022, UNIST AI),
B.S. in Materials Science and Engineering (~Feb. 2019, SNU Eng.),
Korea Science Academy (~Feb. 2019)
Location: Ulsan, Korea
Blog: jundev1l2l.github.io
Junhyun Park's Projects
Pytorch implementation of neural processes and variants
:newspaper: News Topic Classification
Sample Kubernetes service used in the EKS Workshop CI/CD CodePipeline module
Models and examples built with TensorFlow
Neural Bootstrapper (NeuBoots)
Neural Processes Upper Confidence Bound Algorithm for Contextual Bandits (NP-UCB)
Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset
PyTorch port and extension of the Deep Bayesian Bandits Library
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This is reimplementation of "Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness" in Pytorch.
An educational resource to help anyone learn deep reinforcement learning.
TensorFlow 1.x Practice
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)