Crystal Toolkit is a web app framework from the Materials Project allowing Python
Modeling complex perturbations with flow matching at single-cell resolution
The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
A discretization module providing an implementation of mathematical abstractions to solve PDEs on parallel computers including local grid adaptivity, dynamic load balancing, and higher order discretization schemes Discontinuous Galerkin for evolution problems and virtual element methods are available as additional dune modules
Awesome multilingual OCR and document parsing toolkits based on PaddlePaddle
TextFSM Templates for Network Devices, and Python wrapper for TextFSM's CliTable.