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Thinc

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About

Thinc is a functional deep learning library that allows seamless switching between frameworks like PyTorch, TensorFlow, and MXNet. It features sophisticated type checking to catch bugs early and an innovative configuration system that simplifies the management of settings for machine learning. Thinc is lightweight, easy to install, and has been battle-tested in production. It is designed to leverage the latest advancements in neural networks and Python, making it suitable for both research and production use cases.

Platform

Keywords

machine learning deep learning lightweight cross-platform type checking

Task

Features

• sophisticated type checking

• battle-tested in production environments

• compatible with multiple frameworks (pytorch, tensorflow, mxnet)

• innovative configuration system

• lightweight with few dependencies

• cross-platform support (linux, macos, windows)

• fresh design based on recent advancements in neural networks

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