petervanlunteren Goto Github PK
Name: Peter van Lunteren
Type: User
Bio: Wildlife ecologist and data scientist with a special interest in ML
Location: Utrecht, NL
Name: Peter van Lunteren
Type: User
Bio: Wildlife ecologist and data scientist with a special interest in ML
Location: Utrecht, NL
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects.
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
Real-time animal detection system based on EcoAssist
Storage of binary files for EcoAssist
This repo contains a JSON file with model information for EcoAssist which can be fetched at runtime.
Human in the loop and annotation tool for EcoAssist. Forked from labelImg.
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
Some files which are useful when training an algorithm to recognise objects in images.
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Bounding Box is a library to plot pretty bounding boxes with a simple Python API.
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.