Wonjae Kim (dandelin)

dandelin

Geek Repo

Company:@naver-ai

Location:Pangyo, Korea

Home Page:http://wonjae.kim

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Wonjae Kim's repositories

ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

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amdim-public

Public repo for Augmented Multiscale Deep InfoMax representation learning

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CMC

Contrastive Multiview Coding (self-supervised learning from multiple sensors/views/modalities)

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dandelin.github.io

https://wonjae.kim

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deit

Official DeiT repository

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detr

End-to-End Object Detection with Transformers

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dwarfs

A fast high compression read-only file system

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image-to-set

The project is about predicting sets (of classes) from images.

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minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

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PaintTransformer

PyTorch implementation of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021.

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PyPDF2

A utility to read and write PDFs with Python

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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

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pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

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pytorch-lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

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reformer-pytorch

Reformer, the efficient Transformer, in Pytorch

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SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

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torchdyn

A PyTorch based library for all things neural differential equations

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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UNITER

Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

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VC-R-CNN

[CVPR 2020] The official pytorch implementation of ``Visual Commonsense R-CNN''

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vision

Datasets, Transforms and Models specific to Computer Vision

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ViT-pytorch

Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

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YOLOS

You Only Look at One Sequence (https://arxiv.org/abs/2106.00666)

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