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em-gmm

EM算法，GMM高斯混合模型聚类

face_liveness_detection

facenet

Face recognition using Tensorflow

fancyss_history_package

科学上网插件的离线安装包储存在这里

fast-mtcnn

a casual work about retraining to optimize mtcnn Pnet and ONet. it can achieve 100+fps on CPU with minSize 60 (1920x1080) on intel i7 6700k

fast-rcnn

Fast R-CNN

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn

Faster R-CNN

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

gabp-demo

基于遗传算法的BP网络设计。应用背景为交通流量的预测

google-research

Google AI Research

group_equivariant_capsules_pytorch

Pytorch implementation of Group Equivariant Capsule Networks

hand-gesture-recognition-using-mediapipe

MediaPipe(Python版)を用いて手の姿勢推定を行い、検出したキーポイントを用いて、簡易なMLPでハンドサインとフィンガージェスチャーを認識するサンプルプログラムです。（Estimate hand pose using MediaPipe(Python version). This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points.）

handong1587.github.io

hourglasstensorlfow

Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation

huashan

hyperlpr

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

imgclsmob

Sandbox for training convolutional networks for computer vision

jetbrainsactivation

jpegrtspcamera

Sample RTSP server streaming MJPEG video from PC camera

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

lee-slam-source

SLAM 开发学习资源与经验分享

machinelearning

Machine Learning in Action（机器学习实战）

marktext

📝Next generation markdown editor, running on platforms of MacOS Windows and Linux.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

maskrcnn-benchmark

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

mobilenetv2-yolov3

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops500KB:fire::fire::fire:

modern-cpp-nms

A Modern C++ Implementation of NMS

mtcnn

Repository for "Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks", implemented with Caffe, C++ interface.