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bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

cwwjyh

daily_fudan

因遗留原因，自动更新不好实现，本项目不再维护，新项目地址 https://github.com/Limour-dev/daily_fudan_actions

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

digital_work

the first update

digital_work1

作业需要提交以下内容： 提交内容 详细要求 作业文档 对方法原理进行简单的说明，对实验结果进行分析。 程序源代码 相关程序的全部源代码，要求能够正常编译和运行。 程序说明 详细说明如何编译源代码、如何运行演示程序。 实验一： 直方图均衡化 作业要求： 1. 参考“空间域图像增强” 和“彩色图像处理”（自我探索）内容， 对灰度和彩色图片进行直方图均衡化处理， 输出均衡化后的图片。 2. 分别在 RGB 颜色空间和 HSI 颜色空间下对彩色图片进行直方图均衡化操作， 输出均衡化后的图片， 观察并分析两个颜色空间下实验结果的差别。 3.实验图片： 灰度图片直方图均衡化： histeq1.jpg、 histeq2.jpg、 histeq3.jpg、 histeq4.jpg。 彩色图片直方图均衡化： histeqColor.jpg 再自选至少 5 张图片（包括灰度图片和彩色图片

dreamfields-torch

A pytorch implementation of dreamfields with modifications.

face-parsing.pytorch

Using modified BiSeNet for face parsing in PyTorch

fsrnet

Demo code for our CVPR'18 paper "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (SPOTLIGHT Presentation)

gitskills

hrnet-semantic-segmentation

This is an official implementation of semantic segmentation for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

hrnet_face_parsing

人脸解析比赛

instruct-pix-to-3d

keras

Deep Learning for humans

kernelgan

learngit

learning-to-reweight-examples-1

PyTorch Implementation of the paper Learning to Reweight Examples for Robust Deep Learning

meta-weight-net_code-optimization

A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

ml-notes

notes about machine learning

mysite

git和github演示项目

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

opencv-python-tutorial

OpenCV-Python图像处理教程

point-e-main

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

selfexsr

Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

srntt

Image Super-Resolution by Neural Texture Transfer

unittest_dl