Marcus Svensson's Projects
Course materials and handouts for #100DaysOfCode in Python course
Curated list of papers and resources focused on 3D Gaussian Splatting, intended to keep pace with the anticipated surge of research in the coming months.
Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
This repository contains implementations and illustrative code to accompany DeepMind publications
The fastai deep learning library, plus lessons and tutorials
Three.js-based implementation of the 3D Gaussian splat viewer
Implementation of Graph Convolutional Networks in TensorFlow
Representation learning on large graphs using stochastic graph convolutions.
Simple reference implementation of GraphSAGE.
JavaScript Gaussian Splatting library.
Sparse volume compute and rendering on NVIDIA GPUs
Sublime Text 3 syntax definition for IFC files (Industry Foundation Classes)
Keras implementation of Graph Convolutional Networks
3D graphics framework for Kivy.
Color schemes for default macOS Terminal.app
input/output for many mesh formats
This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Podalize: Podcast Transcription and Analysis
Fork of the PyFoam library: https://svn.code.sf.net/p/openfoam-extend/svn/trunk/Breeder/other/scripting/PyFoam/
Geometry Processing Library for Python
Representation learning on large graphs using stochastic graph convolutions.
Geometric Deep Learning Extension Library for PyTorch
Hooks to build things like tooltips, dropdown menu's and popovers in React
Main SfePy repository
Slurm on Google Cloud Platform