wonjoon-yun Goto Github PK

abr-asrgan

We submitted this article to IEEE Transactions on Mobile Computing

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

grt-hl

marl_pytorch

modelparallel_pytorch

Model Parallelism for pytorch training multiple network on multiple GPUs.

nas_public

This is an official repository of the paper, "Neural Adaptive Content-aware Internet Video Delivery"

non-iid-dataset-generator-dirichlet

nvflare

NVIDIA Federated Learning Application Runtime Environment

ompl

The Open Motion Planning Library (OMPL)

quantum-machine-learning-for-multi-class-classification

quantum-multi-agent-reinforcement-learning

Quantum Multi-agent Reinforcement Learning (QMARL)

quantum-reinforcement-learning

quantumrl_env_pennylane

This repo. is for quantum RL developer. We use pennylane library as dev. env.

real-time-object-detection-in-autonomous-driving-using-hybridnet

resume_wonjoonyun

starcraft

Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

torchquantum

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

torchsparse

[MLSys'22] TorchSparse: Efficient Point Cloud Inference Engine

transunet

This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

tutorial-deeplearning-basics

websitev2

Remodeled LaTeX-style personal website

wonjoon-yun.github.io

I always try to expose myself to a new environment, endeavouring to learn and feel new things. The excitement of learning through new experiences of every moment gives me a power to overcome every challenge that I face. I constantly record and organize things I have learned or felt every moment, and constantly look back at myself to be more advanced than yesterday.