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Hyejin Lee's Projects

aepw-pytorch icon aepw-pytorch

Implementation (in pytorch) based Adversarial Examples in the Physical World

automatic-video-colorization icon automatic-video-colorization

reproducing code from https://github.com/ChenyangLEI/Fully-Automatic-Video-Colorization-with-Self-Regularization-and-Diversity

baekjoon icon baekjoon

코딩테스트 대비 문제집(Baekjoon Online Judge)

capstone-2020-12 icon capstone-2020-12

Memories - Media Quality Enhancement & Sharing Service (미디어 품질 향상 및 공유 플랫폼)

colnet icon colnet

🖌️ Automatic Image Colorization with Simultaneous Classification – based on "Let there be Color!"

deep-reinforcement-learning-for-5g-networks icon deep-reinforcement-learning-for-5g-networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper accepted for publication to IEEE Transactions on Communications.

dg-colorization icon dg-colorization

The official PyTorch implementation of "Bridging the Domain Gap towards Generalization in Automatic Colorization", [ECCV 2022].

diff-svc icon diff-svc

Singing Voice Conversion via diffusion model

fgsm icon fgsm

Reproducing for Explaining and Harnessing Adversarial Examples(FGSM) - ICLR 2015

invokeai icon invokeai

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

nekodraw icon nekodraw

NekoDraw: CLIP STUDIO PAINT plugin for executing Stable Diffusion txt2img and img2img processor.

rlpyt icon rlpyt

Reinforcement Learning in PyTorch

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