fisheries

Making acoustic scattering models available to fisheries and plankton scientists via the world wide web

Open Source Electronic Monitoring Library

Python-based tools for NOAA AFSC GAP marine species surveys data

This list is mirroring all links provided on the CEFI information hub

Demonstrating the use of behavior-driven development (BDD) to Bayesian growth models for assumption tracking.

An application to review fish counter videos. Allows user to classify the species in the video and direction of travel. The dataset is designed work with a machine learning platform.

Automatic discard registration in cluttered environments using deep learning and object tracking: class imbalance, occlusion, and a comparison to human review

Fisheries production dashboard

librarie that help to analyze the Vessel Monitoring System for Mexican Fisheries fleets

Mediterranean fish species ID from COI sequences. SVM matches BLAST at ~100x speed. Includes interpretability probe.

基于物理引力模型的优化算法，专门用于解决无梯度、不连续、多峰值的优化问题

Image-assisted reporting QA — species suggestions, photo quality checks, review triage (public-data-safe).

Sportfish reporting QA workflow demo — data intake, validation, structured export (public-data-safe).

Reproducible models linking CO2 pathways, climate response, natural-resource dynamics, economic damages, uncertainty, and welfare.

A python library for fish stock assessment

Reef survey data QA and reporting pipeline — validation, coverage analysis, export-ready datasets.