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Python solver for the 2D bin packing problem
ROS2 package for creating a map of satellite images in Gazebo
A deep learning CNN based solution for tracking an arbitrary (tennis)court from a single camera broadcast.
Digital twin project
Sentence-BERT search engine for finding similar documents
Repositories
42Python solver for the 2D bin packing problem
A lightweight notification service to send desktop notifications after long code jobs finish running
ROS2 package for creating a map of satellite images in Gazebo
A payments protocol for the internet. Built on HTTP.
x402 Ecosystem Explorer
Web app for interacting with any LangGraph agent (PY & TS) via a chat interface.
Building a Secure and Interoperable Future for AI-Driven Payments.
A Foundation Model for Multivariate Wearable Sensing of Physiological Signals.
A deep learning CNN based solution for tracking an arbitrary (tennis)court from a single camera broadcast.
Digital twin project
Pointcept: a codebase for point cloud perception research. Latest works: Sonata (CVPR'25 Highlight), PTv3 (CVPR'24 Oral), PPT (CVPR'24), MSC (CVPR'23)
No description provided.
6D pose estimation and tracking of unseen objects using RGBd video
The most basic cookiecutter ML/DL template out there
Final project for the course 34759.
[CVPR 2022] Pytorch implementation of "Templates for 3D Object Pose Estimation Revisited: Generalization to New objects and Robustness to Occlusions" paper
Deep learned, NVIDIA-accelerated 3D object pose estimation
[CVPR 2024] PyTorch implementation of GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence
Simple Camera Calibration Examples in Python for Beginners
Methodological analysis of weights statistics from 2D to 3D medical images
No description provided.
A exam project for the course 34763, group 2
The repo contains code for a (very) novel implementation of doing 3D Gaussian Splatting using ellipsoids and ray casting
Sentence-BERT search engine for finding similar documents
No description provided.
No description provided.
Exercises and supplementary material for the machine learning operations course at DTU.
Recommendation engine for Wikipedia article revisors
Super-resolution GAN with structure tensors
An implementation of Testing with Concept Activation Vectors (CAVs), interpreting neural networks by quantifying the influence of human-understandable concepts on model decisions.