MONAI Tutorials

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A minimalist environment for decision-making in autonomous driving

Woopsa is the first fully open-source object-oriented protocol for automation and the Internet of Things

2021 IEEE GRSS Data Fusion Contest Track DSE

[Keras Docs] Train a 3D convolutional neural network (CNN) to predict presence of pneumonia from CT scans.

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

This is the code base for our paper "B-GAP: Behavior-Guided Action Prediction for Autonomous Navigation", which was submitted to ICRA 2021.

Just some code samples for MahApps and other experiments...

TensorFlow - A curated list of dedicated resources http://tensorflow.org

Large-Scale Canine Cutaneous Mast Cell Tumor Dataset for Mitotic Figure Assessment on Whole Slide Images

DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,

S7.NET+ -- A .NET library to connect to Siemens Step7 devices

UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation…

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Node based editor made with WPF/C# that uses C# files to dynamically visualize, edit and save node graphs in XML format. The graphs can then be traversed and its methods called in other application…

A notebook tutorial series for performing predictive maintenance using machine learning

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.3, 3.4, 3.5, 3.6, 3.7, and 3.8. You feed it your Python app, it does a lot of clever things, and spits o…

scikit-learn: machine learning in Python

Beckhoff protocol to communicate with TwinCAT devices.

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

This code is for the paper "multi-scale supervised 3D U-Net for kidneys and kidney tumor segmentation".

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

Halcon licenses activation