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Name: Dr. Alexander Henkes
Type: User
Company: ETH Zürich
Location: Zürich
Name: Dr. Alexander Henkes
Type: User
Company: ETH Zürich
Location: Zürich
3D Roto-translation equivariant convolutions
Computations and statistics on manifolds with geometric structures.
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
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.
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.
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.
ICNS Event Based Camera Simulator
A Software Framework for Neuromorphic Computing
Deep Learning library for Lava
PyTorch implementations of Learning Mesh-based Simulation With Graph Networks
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
Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.
python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
Learning the optimal transport map via input convex neural neworks
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.
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
Newton and Quasi-Newton optimization with PyTorch
A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.
Deep and online learning with spiking neural networks in Python
Rust bindings for the C++ api of PyTorch.
A playbook for systematically maximizing the performance of deep learning models.
V2E: From video frames to DVS events
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.