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mobilenet-v2_cifar10

a pytorch implement of mobileNet v2 on cifar10

mobilenetv2-ssdlite

Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.

mobilenetv3

An implementation of MobileNetV3 with pyTorch

model_inference_deployment

Inference deployment of artificial intelligence models.

models

mono-cnn-pytorch

[TMC '22] Towards Transmission-Friendly and Robust CNN Models over Cloud and Device

nanodet-pytorch

基于NanoDet项目进行小裁剪，专门用来实现PyTorch 版本的代码，下载直接能使用，支持图片、视频文件、摄像头实时目标检测。

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

ncnn-android-benchmark

ncnn android benchmark app

ncnn-android-mobilenetssd

The mobilenetssd object detection android example

ncnn-android-nanodet

ncnn-android-scrfd

ncnn-android-squeezenet

The squeezenet image classification android example

ncnn-android-styletransfer

The style transfer android example

ncnn-android-vkpeak

ncnn-android-yolov5

The YOLOv5 object detection android example

ncnn-android-yolox

net_rl2

Deeply Shared Filter Bases for Parameter-Efficient Convolutional Neural Networks

netron

Visualizer for neural network, deep learning, and machine learning models

neural-networks

object-detection-knowledge-distillation

An Object Detection Knowledge Distillation framework powered by pytorch, now having SSD and yolov5.

opencv-mobile

The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly

orn

Oriented Response Networks, in CVPR 2017

overhaul-distillation

Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

par-cvpr-21

Contains notebooks for the PAR tutorial at CVPR 2021.

pca

主成分分析，Principal Component Analysis(PCA)

poor-mans-deep-learning-camera

Build a thin client deep learning camera with the Raspberry Pi, Flask, and YOLO

prelu_net

Implementation of PReLUNet by chainer (Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification: https://arxiv.org/abs/1502.01852)

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.