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robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

school_management_system

semantic-segmentation-tensorflow-eager

An example of semantic segmentation using tensorflow in eager execution.

shufflenet-v2-tensorflow

A lightweight convolutional neural network

simpsonrecognition

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

slimyolov3

This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications

speech-transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

ssd_blazeface.pytorch

ssd_keras

A Keras port of Single Shot MultiBox Detector

tensorflow-deeplab-v3-plus

DeepLabv3+ built in TensorFlow

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorflow2.0-examples

💥 Tensorflow2.x Examples from basic to hard

test0

test01

tf_unet

Generic U-Net Tensorflow implementation for image segmentation

tiny-yolo-tensorflow

Tiny yolov3 tensorflow

tiny_yolov3

Objects dectection with tiny yolov3

torchseg

Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

tpu

Reference models and tools for Cloud TPUs.

ultra-light-fast-generic-face-detector-1mb

一款超轻量级通用人脸检测模型（模型文件大小仅1MB，320x240输入下计算量仅90MFlops）适用于边缘计算设备、移动端设备以及PC

vargfacenet

vgg_face2

votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

votenet-1

Deep Hough Voting for 3D Object Detection in Point Clouds (https://arxiv.org/abs/1904.09664)

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolov3

Keras implementation of yolo v3 object detection.

yolov3-1

YOLOv3 in PyTorch > ONNX > CoreML > iOS

yolov3_tensorflow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

yolow-keras

YOLOv2 Object Detection w/ Keras (in just 20 lines of code)