kobiso

CBAM-keras

CBAM implementation on Keras

get-daily-arxiv-noti

Get daily arxiv notification with pre-defined keywords

daily-arxiv-noti

Daily arxiv notification with pre-defined keywords

Image-Rotation-and-Cropping-tensorflow

Image rotation and cropping out the black borders in TensorFlow

kobiso

kobiso.github.io

Github pages

Best-README-Template

An awesome README template to jumpstart your projects!

Controlled-Dropout

Implementation of Controlled Dropout: a Different Dropout for Improving Training Speed on Deep Neural Network

pyupbit-autotrade

pyupbit 라이브러리를 활용하여 upbit에서 비트코인을 자동매매하는 코드입니다. 조코딩 유튜브 채널에서 자세한 강의 영상을 보실 수 있습니다.

research-papers

Published research papers

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

bradgarropy

CLIP

Contrastive Language-Image Pretraining

codeSTACKr

DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

FilterResponseNorm-MXNet

MXNet implementation of Filter Response Normalization Layer (FRN) published in CVPR2020

ibot

iBOT: Image BERT Pre-Training with Online Tokenizer (ICLR 2022)

KELIP

leetcode

Solutions for Leetcode problems

me

mlsd

Official Tensorflow implementation of "M-LSD: Towards Light-weight and Real-time Line Segment Detection"

nerfplusplus

improves over nerf in 360 capture of unbounded scenes

recruit

NAVER/LINE Vision Team Recruiting Page

SoftTriple

PyTorch Implementation for SoftTriple Loss

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

synsin

View synthesis for the public.

unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

vision-transformer-pytorch

Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML project.

wit

WIT (Wikipedia-based Image Text) Dataset is a large multimodal multilingual dataset comprising 37M+ image-text sets with 11M+ unique images across 100+ languages.