Stars
A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks
Refine high-quality datasets and visual AI models
Experimental (working!) custom implementation of conditional and unconditional diffusion for testing new methods.
A modular framework for neural networks with Euclidean symmetry
Distributed PyTorch implementation of multi-headed graph convolutional neural networks
Examples and guides for using the OpenAI API
This repository contains implementations and illustrative code to accompany DeepMind publications
My web page containing all the demos from my youtube channel "Ten Minute Physics" www.youtube.com/c/TenMinutePhysics
A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training
Model parallel transformers in JAX and Haiku
Techniques for deep learning with satellite & aerial imagery
Outpainting with Stable Diffusion on an infinite canvas
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
FreeCAD WorkBench Air Plane Design
Computational Fluid Dynamics (CFD) for FreeCAD based on OpenFOAM solver
A library of Parts for FreeCAD. WARNING - This library is huge. It might take a long time to download and make the addons manager unresponsive for many minutes.
Official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.
An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Learning in infinite dimension with neural operators.
Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond