Stars
A library for scientific machine learning and physics-informed learning
Learning in infinite dimension with neural operators.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
OSS library that implements deep learning methods for partial differential equations and much more
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Transform the Red Pitaya in an acquisition card
Genetic-algorithm-based optimisation of resonator dispersion for tailoring Kerr comb states of the Lugiato-Lefever Equation (LLE).
Scientific Inkscape: Inkscape extensions for figure resizing and editing
Finite element software for Stimulated Brillouin Scattering calculations
An open source Python single-pixel imaging kit for educational and research purposes.
🦐 Electromagnetic Simulation + Automatic Differentiation
free finite-difference time-domain (FDTD) software for electromagnetic simulations
Yet another black-box optimization library for Python