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faster-rcnn-tensorflow-python3

Tensorflow Faster R-CNN for Windows/Linux and Python 3 (3.5/3.6/3.7)

flask-socketio

Socket.IO integration for Flask applications.

flask-socketio-celery-monitor

demo for monitor background task

gen-efficientnet-pytorch

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

glasscoverdefectdataset

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

intro-to-r

Scripts and data to go along with introductions to R

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

jetson-multicamera-pipelines

jetson-nano-yolov2-darkflow

run yolov2 darkflow on jetson nano

jetson-opcua-communication

jetson_benchmarks

Jetson Benchmark

kaggle_titanic

the data and ipython notebook of my attempt to solve the kaggle titanic problem

kangaroo

A dataset of 183 images and annotations for kangaroo detection.

keras-applications

Reference implementations of popular deep learning models.

keras-class-activation-map

Class Activation Map using Keras

keras-yolo3

Training and Detecting Objects with YOLO3

keras-yolo3-1

A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo4

A Keras implementation of YOLOv4 (Tensorflow backend)

keras-yolov4

supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。

keras2kubernetes

Open source project to deploy Keras Deep Learning models packaged as Docker containers on Kubernetes.

labelimg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

magnetic-tile-defect-datasets.

dataset of the upcoming paper "Saliency of magnetic tile surface defects"

mask-rcnn-shiny

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mask_rcnn-1

prediction using Mask RCNN

monetizing-machine-learning

Source code for 'Monetizing Machine Learning' by Manuel Amunategui and Mehdi Roopaei

plotly-shiny

Templates for embedding interactive plotly graphs in Shiny apps

pluto-notebook

An extremely minimal Jupyter Notebook running on Flask Server

powerbi-clustering

How to implement clustering in Power BI using PyCaret