OpenEmbedded meta layer to install AI frameworks and tools for the STM32MPU series

Live Image Classification on ESP32-CAM and TFT with MobileNet v1 from Edge Impulse (TinyML)

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

Train/Eval the popular network by TF-Slim,include mobilenet/shufflenet/squeezenet/resnet/inception/vgg/alexnet

Summary & Implementation of Deep Learning research paper in Tensorflow/Pytorch.

SSD: Single Shot MultiBox Detector | a PyTorch Model for Object Detection | VOC , COCO | Custom Object Detection

Got 100fps on TX2. Got 1000fps on GeForce GTX 1660 Ti. Implement mobilenetv1-ssd-tensorrt layer by layer using TensorRT API. If the project is useful to you, please Star it.

Implementation of some popular CNNs (VGG-Net, Res-Net, Mobile-Net) for image classification on CIFAR-10 dataset with PyTorch library

Mobilenetv1 implemented by Tensorflow

Android Classification Sample(MobilenetV1) using NCNN

OpenVINO如何安裝在Colab並執行mobilenet-V1影像分類及mobilenet-SSD物件偵測範例

transfor learning of Mobilenet by tensorflow,include train , test, frozen graph

Implementation of MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Real-time semantic segmentation in the browser using TensorFlow.js.

Simple CoreML Benchmark

Efficient Mobilenets with Lambda layers.

The tools for translate the pretrained TensorFlow model checkpoint to the torch model

Developed an interactive doodle classification project where users draw images and a MobileNet-based model predicts the sketch.

A PyTorch project exploring CNN model efficiency, featuring from-scratch implementations of MobileNetV1 and MobileNetV2. Demonstrates model compression by using Knowledge Distillation to train a lightweight MobileNetV2 (student) from a ResNet-18 (teacher).