Start building on Google Cloud with $300 in free credits. No commitment, no credit card required until you're ready to scale.
Launch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
Start Free Trial
Our Free Plans just got better! | Auth0
With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.
You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
Python library for defining and optimizing mathematical expressions
...Extensible graph framework is suitable for rapid development of custom operators and symbolic optimizations. Implements an extensible graph transpilation framework that currently provides compilation via C, JAX, and Numba. Based on one of the most widely-used Python tensor libraries: Theano.
Laxor is a C++ template library for componentwise tensor algebra, which uses the "Einstein" index notation in expressions and produces efficient binary code.
Mathematica package for tensor reduction of Feynman integrals.
Version 1.2 is now available! This version is compatible with FeynCalc 9.0
FaRe is a Mathematica package for tensor reduction of Feynman integrals. The integral can be any-rank and any-order. Dimensional reduction is used and the final output is regrouped according to tensor structures.
FaRe requires FeynCalc to work.
Please refer to http://arxiv.org/abs/1507.03527 for a detailed manual.
If you use FaRe in a scientific publication or talk, please give proper academic credit by citing http://inspirehep.net/record/1382623
For any information please write to: m.re-fiorentin AT soton.ac.uk
The Tensor Voting Framework is a powerful technique for perceptual grouping, manifold learning, etc. It has proved to be a useful tool in the Computer Vision community. OpenTVF is an open source implementation of TVF.
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
Linear algebra C++ library built upon a tensor class template that can be used to represent tensors of ranks 0 - scalaras, 1 - vectors, 2 - matrices, 3 - tensors of rank 3, etc. It also includes an interface to BLAS and LAPACK subroutines.