KoDohwan

ikodoh@korea.ac.kr

Pinned Repositories

adversarial_attack_implementation
Language:Jupyter Notebook00
Auto-Augmentation-on-Text-Domain
Language:Python10
Connect_4
Connect4 based on MiniMax Algorithm
Language:C++00
course-os
Language:C00
CPU_Scheduler
Language:C00
MIL-NCE_HowTo100M
PyTorch GPU distributed training code for MIL-NCE HowTo100M
Language:Python00
multiprocessing_pytorch_script
Language:Python7 2 01
Search-and-Attack
Language:Python1 1 10
VT-TWINS
Video-Text Representation Learning via Differentiable Weak Temporal Alignment (PyTorch implementation for the CVPR 2022 paper)
Language:Python10 1 32
YourTube
Database based on MYSQL query
Language:PHP1 0 00

KoDohwan's Repositories

KoDohwan/VT-TWINS
Video-Text Representation Learning via Differentiable Weak Temporal Alignment (PyTorch implementation for the CVPR 2022 paper)
Language:Python10 1 32
KoDohwan/multiprocessing_pytorch_script
Language:Python7 2 01
KoDohwan/Auto-Augmentation-on-Text-Domain
Language:Python10
KoDohwan/Search-and-Attack
Language:Python1 1 10
KoDohwan/YourTube
Database based on MYSQL query
Language:PHP1 0 00
KoDohwan/adversarial_attack_implementation
Language:Jupyter Notebook00
KoDohwan/Connect_4
Connect4 based on MiniMax Algorithm
Language:C++00
KoDohwan/course-os
Language:C00
KoDohwan/CPU_Scheduler
Language:C00
KoDohwan/MIL-NCE_HowTo100M
PyTorch GPU distributed training code for MIL-NCE HowTo100M
Language:Python00
KoDohwan/d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Language:Jupyter Notebook
KoDohwan/DL_TeamProject14
Language:Jupyter Notebook
KoDohwan/mixup_implementation
Language:Jupyter Notebook
KoDohwan/mmaction
An open-source toolbox for action understanding based on PyTorch
KoDohwan/Robocode
Playing Robot Battle
Language:Python
KoDohwan/Scikit-Learn-Practice
Mushroom Classification and Wine Quality Prediction
Language:Python