Pinned Repositories
CNNIQA
[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
Conditional-GAN
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Conditional-GANs-Pytorch
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CPM
Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Digital-image-processing-and-application
bilibili啥都会一点的研究生:https://space.bilibili.com/46880349
tensorflow
Computation using data flow graphs for scalable machine learning
ssshenbo's Repositories
ssshenbo/CNNIQA
[unofficial] CVPR2014-Convolutional neural networks for no-reference image quality assessment
ssshenbo/Conditional-GANs-Pytorch
CGAN ProjectionCGAN ACGAN InfoGAN Pytorch
ssshenbo/CPM
Lipstick ain't enough: Beyond Color-Matching for In-the-Wild Makeup Transfer (CVPR 2021)
ssshenbo/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
ssshenbo/Digital-image-processing-and-application
bilibili啥都会一点的研究生:https://space.bilibili.com/46880349
ssshenbo/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
ssshenbo/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
ssshenbo/hyperIQA
Source code for the CVPR'20 paper "Blindly Assess Image Quality in the Wild Guided by A Self-Adaptive Hyper Network"
ssshenbo/Image_Processing
Image Processing techniques using OpenCV and Python.
ssshenbo/ImageProcessing100Wen
「画像処理100本ノック」中文版本！为图像处理初学者设计的 100 个问题。
ssshenbo/jd_seckill
ssshenbo/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
ssshenbo/lihang-code
《统计学习方法》的代码实现
ssshenbo/matplotlib-cn
matplotlib中文文档
ssshenbo/NRVQA
no reference image/video quaity assessment(BRISQUE/NIQE/PIQE/DIQA/deepBIQ/VSFA
ssshenbo/opencv-python-tutorial
📖 OpenCV-Python image processing tutorial for beginners
ssshenbo/presto
Distributed SQL query engine for big data
ssshenbo/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ssshenbo/python--
总结-改进-汇总
ssshenbo/python_for_image_processing_APEER
https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG
ssshenbo/pytorch-doc-zh
Pytorch 中文文档
ssshenbo/pytorch-GAN-CGAN
pytorch implementation of GAN and Conditional GAN
ssshenbo/Pytorch-Image-Translation-GANs
Pytorch implementations of most popular image-translation GANs, including Pixel2Pixel, CycleGAN and StarGAN.
ssshenbo/QAGANS
Quality Aware Generative Adversarial Networks
ssshenbo/RankIQA
The rep for the RankIQA paper in ICCV 2017
ssshenbo/SCGAN
ssshenbo/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
ssshenbo/stylegan2
StyleGAN2 - Official TensorFlow Implementation
ssshenbo/tensorboard2seaborn
Plot Tensorflow Summary Event in a Beautiful Way 🌈
ssshenbo/WaDIQaM
[unofficial] Pytorch implementation of WaDIQaM in TIP2018, Bosse S. et al. (Deep neural networks for no-reference and full-reference image quality assessment)