A library that includes Keras3 layers, blocks and models with pretrained weights, providing support for transfer learning, feature extraction, and more.

Track emissions from Compute and recommend ways to reduce their impact on the environment.

MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.

Docker implementation of TensorFlow and EfficientNet v2 for training wildlife camera trap classifiers

Everything I know about machine learning and camera traps.

MEWC: Mega Efficient Wildlife Classifier

Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model

Geographical Data Processing in the Cloud

1st place solution of Team Epoch on the Kelp Wanted competition hosted on DrivenData.

A ready-to-use curated list of Spectral Indices for Remote Sensing applications.

Awesome Spectral Indices in Python.

fully functional, ridiculously fast web gl renderer plugin for leaflet

R package for fast web gl rendering for leaflet

Google Earth Engine Tutorial

Pseudo API for Google Trends

A Python library to extract tabular data from PDFs

Repository to deploy https://environ-mate.feld-m.de/

Environ-Mate Web App Source Code

Python Data Science Handbook: full text in Jupyter Notebooks

Rapid map creation with machine learning and earth observation data.

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Simple examples of data pipelines from xarray to ML training

Techniques for deep learning with satellite & aerial imagery

using deep semantic segmentation networks for global multi-temporal cropland mapping from remote sensing big data

Implementation of the paper "ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data" in TensorFlow.