ahenkes1

HENKES_PINN

Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.114790 by Alexander Henkes and Henning Wessels from TU Braunschweig and Rolf Mahnken from University of Paderborn.

HENKES_GAN

Code of the publication "Three-dimensional microstructure generation using generative adversarial neural networks in the context of continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.115497 by Alexander Henkes and Henning Wessels from TU Braunschweig.

HENKES_SNN

Code of the publication "Spiking neural networks for nonlinear regression" published in https://doi.org/10.1098/rsos.231606 by Alexander Henkes from ETH Zürich, Jason K. Eshraghian from University of California, Santa Cruz and Henning Wessels from TU Braunschweig.

snntorch

Deep and online learning with spiking neural networks in Python

meshGraphNets_pytorch

PyTorch implementations of Learning Mesh-based Simulation With Graph Networks

Physics-informed-Neural-Network-with-Graph-Embedding

pydec

PyDEC: A Python Library for Discretizations of Exterior Calculus for simplicial complexes of any dimension embedded or not and for cubical complexes of any dimension. Implements discrete exterior derivative as coboundary, a Delaunay Hodge star operator and lowest order Whitney forms.

cubenet

3D Roto-translation equivariant convolutions

hamiltorch

PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

IEBCS

ICNS Event Based Camera Simulator

jaxpi

NUTS

python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

geomstats

Computations and statistics on manifolds with geometric structures.

lava

A Software Framework for Neuromorphic Computing

lava-dl

Deep Learning library for Lava

modulus-sym

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

MParT

Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.

OT-ICNN

Learning the optimal transport map via input convex neural neworks

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

pytorch-minimize

Newton and Quasi-Newton optimization with PyTorch

sinabs

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

tch-rs

Rust bindings for the C++ api of PyTorch.

v2e

V2E: From video frames to DVS events

wpinns