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face_recognition

The world's simplest facial recognition api for Python and the command line

face_recognition_models

Trained models for the face_recognition python library

faceswap-gan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

facetools

一键人脸归一化处理工具，包括人脸检测，人脸关键点检测，基于关键点的人脸对齐

fast-rcnn

Fast R-CNN

faster_rcnn_for_dota

Code used for training Faster R-CNN on DOTA

fine-tuning

Fine-tuning an already learned model, adapts the architecture to other datasets

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

geospatial-python

geospatial analysis tutorial

gluon-practice-code

《动手学深度学习》的练习代码

gnnpapers

Must-read papers on graph neural networks (GNN)

hsi-svm

高光谱遥感影像识别与分类,HSI_SVM,Indian Pines

hybridsn

This is a tensorflow and keras based implementation of HybridSN in our paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

hyperspectral-classification

Hyperspectral-Classification Pytorch

hyperspectral_deeplearning_review

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

ieee_tgrs_gcn

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE TGRS, 2020.

image_algorithm_toolbox

:seedling: [ Image Algorithm Toolbox ] : contains labeling tool, resizing tool, image enhancing tool, format conversion tool, image distributing tool. :four_leaf_clover: [ 图像算法工具箱 ]：包含图片标记工具、图片缩放工具、图片数据增强工具、格式转换工具、图片数据分发工具等。

imgaug

Image augmentation for machine learning experiments.

labelimg

:metal: LabelImg is a graphical image annotation tool and label object bounding boxes in images

learnopencv

Learn OpenCV : C++ and Python Examples

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

machine-learning-algorithm

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

models

Models and examples built with TensorFlow

mtcnn

基于caffe的mtcnn训练实现，可以训练一个自己的有效的目标检测算法，非常容易非常简单，并且有配套的纯c++版本的mtcnn-light

mtcnn_face_detection_alignment

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks

multimodal-remote-sensing-toolkit

A python tool to perform deep learning experiments on multimodal remote sensing data.

nn-svg

Publication-ready NN-architecture schematics.