Code Monkey home page Code Monkey logo

Hi there πŸ‘‹

I am a researcher at the Norwegian Institute for Nature Research working with artificial intelligence, statistics and biodiversity conservation. Most of my work is hosted on our institutional GitHub NINAnor.

My work focus on developing and using deep learning algorithms for biodiversity conservation. I am particularly interested in using AI in bioacoustic (e.g. detection and classification of audio events) but also using AI for image processing (e.g. detection and classification of animals). I code mostly in Python but I do love R for data analysis and for making fancy plots (ggplot2 is the best).

Some examples of my work include:

I am also very found of grappling sports and in particular wrestling and brazilian jiu jitsu and when not at work I am usually on the mat trying some fancy takedowns or some techniques I saw on instagram πŸ€Όβ€β™‚οΈ

I am always open for new collaborations so don’t hesitate to send me a mail.

Benjamin Cretois's Projects

cameratraps icon cameratraps

Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.

citynet icon citynet

A neural network classifier for urban soundscapes

cretois_ee_2021 icon cretois_ee_2021

Scripts for the paper: Identifying and correcting spatial bias in opportunistic citizen science data for wild ungulates in Norway

geog2015 icon geog2015

Repository for the course GEOG2015 - GIS and Quantitative methods

geog3006 icon geog3006

Repository for GEOG3006 - Quantitative Methods

geog3527 icon geog3527

Repository for the course GEOG3527 - GIS Tools for Climate Change Studies

papers icon papers

Code and data for my papers - Full paper also in the repo

spi-ipm icon spi-ipm

Code for setting up, running, and analysing Integrated Population Models using SPI-Birds data, including detailed code manual. UNDER DEVELOPMENT.

starter-academic icon starter-academic

πŸ“ Easily create a beautiful website using Hugo, GitHub, and Netlify

unilm icon unilm

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    πŸ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. πŸ“ŠπŸ“ˆπŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❀️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.