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Name: 지혜승

Type: User

지혜승's Projects

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

clip-distillation

Zero-label image classification via OpenCLIP knowledge distillation

clip-lite

Pytorch Implementation of CLIP-Lite | Accepted at AISTATS 2023

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

github_tutorial

Repository for github tutorial

isc2021

Code for the Image similarity challenge.

jhs

yolov4 based on github project

kiwoom_auto_trading_system

Using kiwoom API for Data crawling & Trading, Using Neural Networks & Reinforcement Learning for Trade decision

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

supergluepretrainednetwork

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

superpoint

Efficient neural feature detector and descriptor

superpointpretrainednetwork

PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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