torchopt

metaopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

functional-programming optimization

View on GitHub Website

615 Stars

40 Forks

615 Watchers

Python Language

apache-2.0 License

Cost to Build

$277.1K

Market Value

$936.4K

How is this calculated?

Growth over time

6 data points · 2022-09-01 → 2025-09-01

Stars Forks Watchers

💬

How do you feel about this project?

Ask AI about torchopt

Question copied to clipboard

What is the metaopt/torchopt GitHub project? Description: "TorchOpt is an efficient library for differentiable optimization built upon PyTorch.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

Question is copied to clipboard — paste it after the AI opens.

How to clone torchopt

Clone via HTTPS

git clone https://github.com/metaopt/torchopt.git

Clone via SSH

[email protected]:metaopt/torchopt.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the torchopt issue tracker:

Open GitHub Issues

Similar to torchopt

mostly-adequate-guide functional-programming-jargon Functional-Light-JS cyclejs ios-oss android-oss lila scalaz Learning-SICP plt Swiftz milewski-ctfp-pdf vavr shapeless Carp write-you-a-haskell eta nix funcy arrow coconut bash-oo-framework scala-exercises kefir riko PyFunctional Lightweight-Stream-API wiwinwlh cube-composer z