MicaSense RedEdge and Altum image processing tutorials

Image segmentation of cultivated land

Delineation of agricultural fields using multi-task BsiNet from high-resolution satellite images

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

The Winning Solution to the Cultivated land Extraction From High-Resolution Remote Sensing Image Challenge

Roadmap to becoming an Artificial Intelligence Expert in 2022

Python package for information theory.

A Python framework for creating reproducible, maintainable and modular data science code.

The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

Over 60 recipes to work with topology, overlays and indoor routing

A collection of packages for working with time series analysis using Bandt-Pompe and information theory descriptors

Publication-ready NN-architecture schematics.

A Python package for data analysis with permutation entropy and ordinal networks methods.

EPFL Course - Optimization for Machine Learning - CS-439

500 AI Machine learning Deep learning Computer vision NLP Projects with code

Python code for the DECODE method and mxnet code for Fractal ResUNet

EPFL Machine Learning Course, Fall 2019

A repository contains the code for various semantic segmentation in TensorFlow and PyTorch framework.

This repository contains the code for Lung segmentation using Montgomery dataset in TensorFlow 2.0.

Notebooks for workshop

This repository contains the code for semantic segmentation of the skin lesions on the ISIC-2018 dataset using TensorFlow 2.0.

U-Net for person segmentation in TensorFlow using Keras API.

Water Observation From Space

Machine Learning system for Geoscience Australia uncover project

DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time t…

This repository contains the code for the Retina Vessel Segmentation (DRIVE) using the UNET architecture in TensorFlow 2.0

This repository contains the code for semantic segmentation of the cell nuclei on the 2018 Data Science Bowl dataset using UNET architecture in TensorFlow 2.0 framework.

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

The repository contains the Jupyter Notebook that perform semantic segmentation using the famous U-Net. The encoder of the U-Net is replaced with the pretrained encoder.