Paul Xiong's repositories
vue-upload-drop-images
🖼️ Vue component that provides drag and drop images upload with preview.
zumly
Zumly is a JS library for building zooming user interfaces
Implicit-Internal-Video-Inpainting
[ICCV 2021]: IIVI: Internal Video Inpainting by Implicit Long-range Propagation
micrograd
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
photoprism
Open-Source Photo Management powered by Go and Google TensorFlow
gomod
Go modules analysis tool
find_wrong_annotation
find a wrong annotation
vue-interactive-paycard
Credit card form with smooth and sweet micro-interactions
pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
pytorch-lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
self_supervised
A Pytorch-Lightning implementation of self-supervised algorithms
Computer-Vision-Object-Location-through-Ai-Self-Learning
Real-Time Ai -Self Learning Model, where the user will give an input of an object, and Ai will follow a complete automated process of self Learning to learn an object description and later identify it after learning
medical-imaging-datasets
A list of Medical imaging datasets.
duke-dbt-detection
Baseline for Duke DBT detection dataset
Covid19
Improve detecting Covid-19 by Deep Learning
SimCLR-in-TensorFlow-2
(Minimally) implements SimCLR (https://arxiv.org/abs/2002.05709) in TensorFlow 2.
imagenet-5-categories
This repository contains images from 5 categories (250 for train and 50 for test for each category)
CombiFile
Taking files from a directory and Generate files with directory's name +file's name: dir/file1,file2... to dir_file1,dir_file2
SimCLR_tensorflow
TensorFlow Implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
simclr-2
SimCLR - A Simple Framework for Contrastive Learning of Visual Representations
png2cifar10
make a cifar10 archive from pngs
simclr
Unofficial PyTorch implementation of SimCLR by Chen et al.