The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Top 5 Swift Deep Learning Projects
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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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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 related posts
- Launch HN: Metal (YC W23) – Embeddings as a Service
- Machine learning modules for swift
- Should I use accelerate or another library for simple, np.sum-like, matrix operations?
- August Review 2021
- Anyone taking part or has taken part in the Swift Student Challenge?
- How to use NumPy to compute 3D point cloud map ?
- Recommendations for Books on Deep Learning.
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source Deep Learning projects in Swift? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | Bender | 1,785 |
| 2 | CoreML-in-ARKit | 1,650 |
| 3 | mobilePydnet | 247 |
| 4 | DL4S | 100 |
| 5 | Neuron | 69 |
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