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PhD Student @ Technical University Denmark (DTU)
- Copenhagen, Denmark
- https://www.linkedin.com/in/ronja-g%C3%BCldenring-a99716150/
Highlights
- Pro
Stars
An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.
Open-set Semantic Segmentation Built atop Mask-level Recognition
Multimodaler Anomalie-Detektions Benchmark für simulierte Szenarien
Pluck and Play: Self-supervised Exploration of Chordophones for Robotic Playing
CenterNet Implementation on RumexLeaves
Multi-pose 2D and 3D Face Alignment & Tracking
Implementation of CenterNet and FairMOT with PyTorch Lightning
Exercises and supplementary material for the machine learning operations course at DTU.
a subset of coco dataset for faster experimentation
High quality, fast, modular reference implementation of SSD in PyTorch
Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach
An implementation of the BADGE batch active learning algorithm.
Visual tracking library based on PyTorch.
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
A python library for self-supervised learning on images.
Robotics Toolbox for Python
Paper bank for Self-Supervised Learning
dbolya / tide 88AB
A General Toolbox for Identifying Object Detection Errors
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'
PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Bonnet and then some! Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL