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Name: Mark Philip Philipsen
Type: User
Company: Aalborg University
Location: Denmark
Name: Mark Philip Philipsen
Type: User
Company: Aalborg University
Location: Denmark
Exercise solutions to Bayesian statistics, simulation and software (2016)
A project demonstrating how to make DeepStream docker images.
:thought_balloon: Diffusion Probabilistic Models for 3D Point Cloud Generation (CVPR 2021)
[NeurIPS'23] Emergent Correspondence from Image Diffusion
A collection of dockerfiles and scripts
FFCV: Fast Forward Computer Vision (and other ML workloads!)
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.
Monitoring computers/GPU usage
Extract Images from the Video Clip data and the metadata
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
2D keypoint detection with Pytorch Lightning and wandb
Simple and extendable command-line application to acquire frames from Microsoft Kinect v2 and optionally store them. Visualization is performed with OpenCV.
Grabber of Point Cloud Library based on Kinect for Windows SDK
High-Resolution Image Synthesis with Latent Diffusion Models
Auto-encoding & Generating 3D Point-Clouds.
a grabber for the kinect2 which returns a registered pcl point cloud
PyTorch implementation of Masked Autoencoder
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Blog, on a PhD in robotics, based on Pelican.
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
This is an ongoing project of designing a custom object detector from scratch. You can also use the pytorch-lightning training pipeline to train your own model.
Pytorch Lightning implementations of different deep learning model along with various data modules
Exercises for Point Cloud lecture
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.