Kim, Taehoon's repositories
dalle-lightning
Refactoring dalle-pytorch and taming-transformers for TPU VM
S3FD_ATSS_SAPD
Applying Adaptive Training Sample Selection and Soft Anchor Point Detection to S3FD
image-text-recognition
Region-based Convolutional Neural Networks for Text Label Detection in Patent Images
CNN-text-classification
multi-class text classification using text-CNN and Konlpy
Natural_Language_Processing
2019 Sogang University Natural Language Processing Projects
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more
aws_autoaugment
Improving Auto-Augment via Augmentation-Wise Weight Sharing
DALLE-pytorch
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
EEE6478_Computer_Vision
EEE6478 Computer Vision Assignments
finance_analysis
Financial analysis python codes
flops-counter.pytorch
Flops counter for convolutional networks in pytorch framework
inception-score
A new implementation of the Inception Score metric for evaluation of GANs
ML_Dockerfiles
Repo for different ML dockerfiles
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
sogang_university_beamer
LaTeX beamer presentation template
client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
detr
End-to-End Object Detection with Transformers
LLaVA-Med
Large Language-and-Vision Assistant for BioMedicine, built towards multimodal GPT-4 level capabilities.
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
nlg-eval
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
webdataset
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.