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ano-unet

Ano-Unet can visualize abnormal parts.

assemblycheck

auto-annotation

autoencoder_vs_metriclearning

AutoEncoder vs Metric Learning for Anomaly Detection

bayesassemble

Assembly Checker(Mobilenetv2-ssdlite + BayesianOptimization)

dcase2020_task2_baseline

DCASE2020 Challenge Task 2 baseline system

dcase2020_task2_solution-anomaly_detection-

DCASE2020 Task2 Self-supervised learning solution

deep_learning_object_detection

A paper list of object detection using deep learning.

deepanomalydetection_benchmark

Benchmark for DeepLearning anomaly detection

deepmagic

This application can delete the objection.

efficientnet_ad_segmentation

faster-grad-cam

Faster and more precisely than Grad-CAM

gpflow-slim

customized GPflow with simple Tensorflow API

handtracking

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

handtracking-openvino

keras-oneclassanomalydetection

Learning Deep Features for One-Class Classification (AnomalyDetection).

mobilenet-ssd-realsense

[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering

mobilenetv3

A Keras implementation of MobileNetV3.

mobilenetv3_vs_v2

Benchmark MobileNet V3 vs V2.

models

Models and examples built with TensorFlow

neural-kernel-network

Anomaly detection of Neural-Kernel-Network

number-of-sensor

Evaluation of anomaly detection peformance with input dimensions

oneclassanomalydetection-for-sound

oneclassanomalydetection-raspberrypi3

opencv

Open Source Computer Vision Library

opencv-object-detection

pconv-keras

Visualization of abnormal parts with Unsupervised learning

posenet-python

A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)

python-study-group

pytorch_advanced

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです