Flux
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About
Flux is a 100% pure-Julia machine learning library that delivers lightweight abstractions over Julia's native GPU and automatic differentiation capabilities. It enables an intuitive model definition using mathematical notation and optimizes and fuses kernels for enhanced GPU performance. Flux supports differentiable programming, allowing users to incorporate existing Julia libraries directly into models. It is highly hackable as all components, from GPU code to custom gradients and layers, are customizable. The diverse ecosystem features models for various domains including computer vision, natural language processing, and probabilistic programming. Flux is maintained by a community and has a strong presence on platforms like GitHub and Slack, facilitating engagement and collaboration among users.
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Task
Features
• integration with probabilistic programming
• extensive ecosystem for various domains
• customizable kernels
• differentiable programming with zygote
• built-in gpu support
• intuitive model definition
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