dev-sungman's Stars
microsoft/terminal
The new Windows Terminal and the original Windows console host, all in the same place!
wkentaro/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
facebookresearch/SlowFast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
dbolya/yolact
A simple, fully convolutional model for real-time instance segmentation.
facebookresearch/moco
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
JunMa11/SegLossOdyssey
A collection of loss functions for medical image segmentation
tamarott/SinGAN
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
adambielski/siamese-triplet
Siamese and triplet networks with online pair/triplet mining in PyTorch
piergiaj/pytorch-i3d
tanglang96/DataLoaders_DALI
PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
HsinYingLee/DRIT
Learning diverse image-to-image translation from unpaired data
dev-sungman/Awesome-Self-Supervised-Papers
Paper bank for Self-Supervised Learning
shakedzy/dython
A set of data tools in Python
cvqluu/Angular-Penalty-Softmax-Losses-Pytorch
Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)
jsbroks/imantics
:camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats
sseung0703/Knowledge_distillation_via_TF2.0
The codes for recent knowledge distillation algorithms and benchmark results via TF2.0 low-level API
Soongja/basic-image-eda
A simple image dataset EDA tool (CLI / Code)
mk-minchul/attend-and-compare
mi2rl/DONT
DO Not Touch your face
seungjunlee96/PointNet2_RandAugment
Applying RandAugment on PointNet++
mi2rl/DONT_dispenser
DO Not Touch dispenser
mi2rl/MI2RL-PaperStudy
Deep Learning Paper Study in MI2RL@AsanMedicalCenter
DeepPaperStudy/DPS-4th
dev-sungman/Attend-and-Compare-Module
Learning Visual Context by Comparison (ECCV, 2020)
chokyungjin/chokyungjin
🧑🏻💻
DeepPaperStudy/DPS-3rd
Deep Paper Study 3rd
dev-sungman/pytorch-playground
DeepPaperStudy/DPS-5th
5th Deep Paper Study