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followers: 61.0 following: 86.0 repos: 248.0 gists: 4.0

Name: Jizong's Fox

Type: User

Company: Ecole de technologie superieure (ETS) @LIVIAETS

Bio: PhD from École de technologie supérieure. I received M.S./B.S./Dip. Ingénieur degrees from Shanghai Jiao Tong University and École Centrale Marseille

Location: Montreal

Jizong's Fox's Projects

svox2 icon svox2

Plenoxels: Radiance Fields without Neural Networks

swa icon swa

Stochastic Weight Averaging in PyTorch

swin-transformer icon swin-transformer

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

template-repo-python icon template-repo-python

A template repository to quickly start new python projects with an already working package structure and CI/CD

text2image icon text2image

Text to Image Generation with Semantic-Spatial Aware GAN

torch-ngp icon torch-ngp

A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.

torchtyping icon torchtyping

Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.

tqdm icon tqdm

A Fast, Extensible Progress Bar for Python and CLI

tyro icon tyro

Strongly typed, zero-effort CLI interfaces & config objects

ua-mt icon ua-mt

code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

uda icon uda

Unsupervised Data Augmentation (UDA)

ugatit-pytorch icon ugatit-pytorch

Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

universeg icon universeg

UniverSeg: Universal Medical Image Segmentation

vid2vid icon vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

vimrc icon vimrc

.vimrc for auto-completion with Anaconda-based Python

vimrc-1 icon vimrc-1

The ultimate Vim configuration (vimrc)

wgan-gp icon wgan-gp

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

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