Popular GitHub Repositories for Ecology Biodiversity

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

A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos and images

This repository contains exemplary workflow using programming tools and libraries for data rescue of historical biodiversity data. These tools combine OCR and text mining approaches to retrieve valuable information like species, functional traits and environments.

Educational Resources on Neural Networks for Ecology and Remote Sensing

An ecologically inspired multi-agent system. Agents are designed with neural network based decision making, and complex resource requirements.

End-to-end NLP tool to analyze research publications. Published in Ecology & Evolution 2021.

Variational Inference for Langevin Equations

Pytorch implementation for "Iterative Human and Automated Identification of Wildlife Images" (Nature -Machine Intelligence, 2021)

Using Machine Learning, Image Recognition, and Computer Vision to detect microplastics in water samples.

An intelligent, multi-agent framework for artificial biome simulation.

Model development, deployment, and evaluation for forecasting Portal ecosystem dynamics

Public repository for the Jupyter book (original repository: https://gitlab.hrz.tu-chemnitz.de/ioer/fdz/jupyter-book-nfdi4biodiversity) with training material on how to connect to the IOER Monitor API and the GBIF Database API to query and process spatial data.

Multi-modal Foundation Model for Biodiversity dynamics forecasting

AI-powered environmental monitoring system for marine and terrestrial ecosystems using computer vision, real-time analysis, and FAIR data principles.

Information Retrieval using Multiple LLMs and RAG

Artificial Superintelligence for the (Good!) Quasieternity for (Good!) Happiness for the (Somewhat Unrestricted, local & global & more!) Biosphere (of unrestricted Any and maybe more).

Leverages big data and machine learning for wildlife conservation using GBIF species data. PySpark is used for preprocessing, K-Means for clustering, and Decision Trees for habitat prediction. Tableau visualizes species distribution, biodiversity, and conservation insights.

A tool to streamline the identification process of invasive and non-native species in the Florida area.

Bridging Digital and Natural Worlds at The Wilds

Artificial Superintelligence Knots (I coined or re-invented this).