Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
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Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
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🌏 A zero-dependency networking solution for building modern and secure iOS, watchOS, macOS and tvOS applications.
A collection of React components shared between IBM Maximo Asset Monitor (Watson IoT), IBM Maximo Visual Inspection, and Graphite products.
TranslatedSwift foundation library. A collection of Swift extensions and utilities.
Pulsr — open-source recovery, strain and sleep coach for Apple Watch. Liquid Glass UI, on-device, no subscription.
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Write amazing, strong-typed and easy-to-read NSPredicate.
An underwater one-button real-time strategy game.
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High-performance Swift framework for task execution, memory caching, and data management with intelligent execution merging, TTL caching, and retry logic
Go Wrapper for using localstack
This is a small, opinionated Go library and CLI for Markdown to PDF. It handles cover pages, tables of contents, watermarks, signatures, and more. You can use CSS themes and custom assets. It works with parallel batch processing. The engine behind it is Chrome. It does not rely on LaTeX.
Command line tool for exporting resources and generating code from your Figma files
Notes on your wrist!
Builds and restarts a Go project when it crashes or some watched file changes
A collection of nodes for the IBM Watson services
Fast Ruby FFI string edit distance algorithms
:cat: GitHub contributions app, for iOS, WatchOS, and OSX
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UI framework based on the Fusion/libui.cr library, with elements from watzon/cru.