Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free. Learn more →
Top 4 Swift Deep Learning Projects
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Nutrient
Nutrient - The #1 PDF SDK Library. Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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CoreML-in-ARKit
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
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DL4S
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Swift Deep Learning discussion
Swift Deep Learning related posts
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Launch HN: Metal (YC W23) – Embeddings as a Service
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Machine learning modules for swift
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Should I use accelerate or another library for simple, np.sum-like, matrix operations?
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August Review 2021
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Anyone taking part or has taken part in the Swift Student Challenge?
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How to use NumPy to compute 3D point cloud map ?
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Recommendations for Books on Deep Learning.
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A note from our sponsor - Nutrient
nutrient.io | 18 Feb 2025
Index
What are some of the best open-source Deep Learning projects in Swift? This list will help you:
# | Project | Stars |
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1 | Bender | 1,800 |
2 | CoreML-in-ARKit | 1,666 |
3 | Neuron | 126 |
4 | DL4S | 105 |