ForeverPs

content-aware-rotation

Implementation of Kaiming He's Paper Content-Aware Rotation on ICCV 2013

haze-removal-using-dark-channel-prior-and-guided-filter

haze removal + dark channel prior + guided filter

AODNet-Based-Image-Haze-Removal

Single Image Haze Removal Using AODNet in Pytorch

CBST

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

deep-learning-for-image-processing

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

Machine_Learning-Classification_Regression_and_Classifier_interpretability

1. Classification with Hyperparameter Search : The idea here is to train and evaluate 8 classification methods across 10 classification datasets. 2. Regression with Hyperparameters Search: The idea here is to train and evaluate 7 regression methods across 10 regression datasets. 3. Classifier interpretability : load and train models on standard computer vision dataset called CIFAR-10 and train a convolutional neural network using PyTorch to classify images in the dataset; train a decision tree to classify images in the dataset; and try to interpret the CNN using the 'activation maximization' technique. 4. Novelty component : Try to introduce a novel aspect to your analysis of classifiers and regressors or to your investigation of interpretability.

Notes-for-Cpp

SSD

Implementation of SSD300 in Pytorch use ResNet50 Backbone.

a-PyTorch-Tutorial-to-Object-Detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

Awesome-FoodAI

AI Research Resources in Food Domain

BourGAN

BourGAN: Generative Networks with Metric Embeddings

deblur_GAN

DehazeZoo

DehazeZoo for collecting dehazing methods, datasets, and codes.

Diversity-Penalty

source code of paper diversity penalty

GIF-Thumbnails

GIF Thumbnails: Attract More Clicks to Your Videos(AAAI 2021)

ISDA-for-Deep-Networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

lihang-code

《统计学习方法》的代码实现

n2n-watermark-remove

基于noise2noise修改的深度学习去水印项目。

nanodet

⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥

pba

Efficient Learning of Augmentation Policy Schedules

PlotNeuralNet

Latex code for making neural networks diagrams

python-is-cool

Cool Python features for machine learning that I used to be too afraid to use

Statistics-of-Patch-Offsets-for-Image-Completion

reproduction of Kaiming He's paper "Statistics of Patch Offsets for Image Completion" on ECCV 2012

the-gan-zoo

A list of all named GANs!

TRADES

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

uda

Unsupervised Data Augmentation (UDA)

vim-galore-zh_cn

Vim 从入门到精通

yolo

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite