% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.
Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. From Explosion - FOSS friendly company.
Home page for this solution: https://thinc.ai/
| Key | Value |
|---|---|
| Name | thinc |
| Description | 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries |
| License | MIT License |
| Programming Language | Python |
| Created | 2014-10-16 |
| Last update | 2025-04-04 |
| Github Stars | 2846 |
| Project Home Page | https://thinc.ai |
| Code Repository | https://github.com/explosion/thinc |
| OpenSSF Scorecard | Report |
Note:
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Created date is date that repro is created on Github.com.
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Last update: Last update of repository on Github found on {sub-ref}
today. -
Do not attach a wrong value to github stars. Its a vanity metric! Stars count are misleading and don't indicate if the SBB is high-quality or very popular.
% This file is GENERATED. Check the tools on https://nocomplexity.com/ or my github.com/nocomplexity to use it too! Its FOSS.