{"repo":"explosion/thinc","free":true,"listed":false,"github":"https://github.com/explosion/thinc","clone":"git clone https://github.com/explosion/thinc.git","description":"🔮 A refreshing functional take on deep learning, compatible with your favorite libraries","language":"Python","stars":2890,"topics":["machine-learning","deep-learning","artificial-intelligence","ai","python","nlp","natural-language-processing","spacy","machine-learning-library","type-checking"],"license":"MIT","category":"machine-learning","readme_excerpt":"Thinc: A refreshing functional take on deep learning, compatible with your favorite libraries From the makers of spaCy and Prodigy 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. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy. We wrote the new version to let users compose, configure and deploy custom models built with their favorite framework. [![Open demo in Colab][colab]][intro to thinc colab] 🔥 Features - Type-check your model definitions with custom types and mypy plugin. - Wrap PyTorch , TensorFlow and MXNet models for use in your network. - Concise functional-programming approach to model definition, using composition rather than inheritance. - Optional custom infix notation via operator overloading . - Integrated config system to describe trees of objects and hyperparameters. - Choice of extensible backends . - Read more → 🚀 Quickstart Thinc runs on Linux , macOS and Windows . The latest releases with binary wheels are available from pip. Before you install Thinc and its dependencies, make sure that your pip , setuptools and wheel are up to date. For the most recent releases, pip 19.3 or newer is recommended. See t","default_branch":null,"files":null,"tree":[],"storefront":"/r/explosion","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/explosion/thinc/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}