Thinc
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About
Thinc is a functional take on deep learning, compatible with your favorite libraries. You can switch between PyTorch, TensorFlow and MXNet models without changing your application. It offers sophisticated type checking to catch bugs sooner. Configuration is simplified with trees of objects and references to your own functions. Thinc is lightweight and easy to install with few dependencies, available on `pip` and `conda`. It's battle-tested, powering spaCy since its release. The design is innovative, offering a fresh look at neural networks.
Platform
Task
Features
• innovative design
• battle-tested
• super lightweight
• awesome config
• type checking
• use any framework
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