MarcusAndreasSvensson

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

awesome-3D-gaussian-splatting

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.

Best-Deep-Learning-Optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

fastai

The fastai deep learning library, plus lessons and tutorials

FLINCKWebsite

gaussian-splatting-webgpu

GaussianSplats3D

Three.js-based implementation of the 3D Gaussian splat viewer

gcn

Implementation of Graph Convolutional Networks in TensorFlow

MarcusAndreasSvensson/gaussian-splatting-webgpu

MarcusAndreasSvensson/100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

MarcusAndreasSvensson/awesome-3D-gaussian-splatting

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.

MarcusAndreasSvensson/Best-Deep-Learning-Optimizers

Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable

MarcusAndreasSvensson/DeepHPMs

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

MarcusAndreasSvensson/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

MarcusAndreasSvensson/fastai

The fastai deep learning library, plus lessons and tutorials

MarcusAndreasSvensson/FLINCKWebsite

MarcusAndreasSvensson/GaussianSplats3D

Three.js-based implementation of the 3D Gaussian splat viewer

MarcusAndreasSvensson/gcn

Implementation of Graph Convolutional Networks in TensorFlow

MarcusAndreasSvensson/GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

MarcusAndreasSvensson/graphsage-simple

Simple reference implementation of GraphSAGE.

MarcusAndreasSvensson/gsplat.js

JavaScript Gaussian Splatting library.

MarcusAndreasSvensson/gvdb-voxels

Sparse volume compute and rendering on NVIDIA GPUs

MarcusAndreasSvensson/IFC-Syntax-Definition

Sublime Text 3 syntax definition for IFC files (Industry Foundation Classes)

MarcusAndreasSvensson/keras-gcn

Keras implementation of Graph Convolutional Networks

MarcusAndreasSvensson/kivy3

3D graphics framework for Kivy.

MarcusAndreasSvensson/macos-terminal-themes

Color schemes for default macOS Terminal.app

MarcusAndreasSvensson/meshio

input/output for many mesh formats

MarcusAndreasSvensson/Neural_Differential_Equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

MarcusAndreasSvensson/PINNs

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

MarcusAndreasSvensson/podalize

Podalize: Podcast Transcription and Analysis

MarcusAndreasSvensson/PyFoam

Fork of the PyFoam library: https://svn.code.sf.net/p/openfoam-extend/svn/trunk/Breeder/other/scripting/PyFoam/

MarcusAndreasSvensson/PyMesh

Geometry Processing Library for Python

MarcusAndreasSvensson/pytorch-graphsage

Representation learning on large graphs using stochastic graph convolutions.

MarcusAndreasSvensson/pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

MarcusAndreasSvensson/react-laag

Hooks to build things like tooltips, dropdown menu's and popovers in React

MarcusAndreasSvensson/sfepy

Main SfePy repository

MarcusAndreasSvensson/slurm-gcp

Slurm on Google Cloud Platform

MarcusAndreasSvensson/ziran2019