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kcws

Deep Learning Chinese Word Segment

keras-applications

Reference implementations of popular deep learning models.

keras-portraitnet

A Keras implementation of the Portrait Net architecture

keras-shufflenetv2

Keras implementation of ShuffleNet V2

kg-demo-for-movie

从无到有构建一个电影知识图谱，并基于该KG，开发一个简易的KBQA程序。

knowledge_graph_demo

This is a demo for a simple knowledge graph.

knowledgelibrary

知识库管理系统——大学时期比赛（**软件杯）项目

lafin

LaFIn: Generative Landmark Guided Face Inpainting

lawin

A mmseg-style demo code of Lawin(large window) Transformer. The complete project will be available soon.

learnbot-emotion-recognition-proposed-model

Landmarks - Masks - Cascades (Hog - Gabor - LBP) - Action Units - Xgboost

leetcode

离线版本的电子书《LeetCode Cookbook》PDF https://github.com/halfrost/LeetCode-Go/releases/

lightfacenet

This tensorflow project is based on MobileFaceNet, which use SqueezeNet and ShuffleNet as stem CNN to improve speed.

lihang-code

《统计学习方法》的代码实现

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

margin-centre-face

Face recognition

masktrackrcnn_deepsort

medium-facenet-tutorial

Facial Recognition Pipeline using Dlib and Tensorflow

megaface-evaluation

A Simple Tool to Evaluate Your Models on Megaface Benchmark Implemented in Python and Mxnet

metrics

IS, FID score Pytorch and TF implementation, TF implementation is a wrapper of the official ones.

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mlosr

mmdetection

Open MMLab Detection Toolbox and Benchmark

mmdetection-v2-with-mosaic-data-augmentation

mnist-tensorflow-androiddemo

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

mnn-compiler

MNN编译采坑流程

mobileface

A face recognition solution on mobile device.

mobilefacenet-mxnet

基于insightface训练mobilefacenet的相关步骤及ncnn转换流程

mobilefacenet-v2

🔥improve the accuracy of mobilefacenet(insight face) reached 99.733 in the cfp-ff、 the 99.68+ in lfw,96.71+ in agedb30.🔥

mobilefacenets_tf