SunshineAtNoon (sunshineatnoon)

sunshineatnoon

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Company:UC Merced

Location:Merced, CA

Home Page:https://sunshineatnoon.github.io/

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SunshineAtNoon 's repositories

Paper-Implementations

Use PyTorch to implement some classic frameworks

LinearStyleTransfer

This is the Pytorch implementation of "Learning Linear Transformations for Fast Image and Video Style Transfer" (CVPR 2019).

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PytorchWCT

This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

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Paper-Collection

A track of papers I read

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Django-Celery-Example

This is a simple example about how to create a progress bar in Django with Celery.

Scrapy-Amazon-Sqlite

This is a project crawling backpack information and images from Amazon using python scrapy and store data to sqlite database.

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Convolutional-Neural-Network

This is a matlab implementation of CNN on MNIST

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Single-Layer-CNN-on-MNIST

A single Layer CNN on MIST, get an acurray of 97.24%

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stanford_dl_ex

Programming exercises for the Stanford Unsupervised Feature Learning and Deep Learning Tutorial

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pix2pix

Image-to-image translation with conditional adversarial nets

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pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

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sunshineatnoon.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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3D-Portrait-Stylization

Official code for paper "Exemplar Based 3D Portrait Stylization".

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IOS_UPLOAD_TO_DJANGO_DEMO

This is a simple demo shows how to upload image from IOS app to Django server, with both the IOS end and Django server end implementations.

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kmeans_pytorch

kmeans using PyTorch

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minimal-mistakes

:triangular_ruler: A flexible two-column Jekyll theme perfect for building personal sites, blogs, and portfolios.

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SCOPS

SCOPS: Self-Supervised Co-Part Segmentation (CVPR'19)

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SoftRas

Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"

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UVC

Joint-task Self-supervised Learning for Temporal Correspondence (NeurIPS 2019)

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Vision

As of now, OpenCV codes and snippets that I'm working on.

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