Packages for keyword “machine-learning”
These packages are available as a package collection, usable in Xcode or SwiftPM.
executorch
On-device AI across mobile, embedded and edge for PyTorch
Swarm
Type-safe tools, on-device inference, multi-agent workflows, memory, and guardrails, in one Swift-native runtime
Wax
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
ggml
Tensor library for machine learning
CoreMLLLM
Run LLMs on Apple devices with CoreML, optimized for Apple Neural Engine + GPU
SwiftSci
SwiftSci is a native, high-performance, modular data analysis and machine learning library for Swift.
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
PerfectTensorFlow
TensorFlow C API Class Wrapper in Server Side Swift.
swift-tokenizers
High-performance tokenizers
Logits
Dependency-free Swift helpers for on-device ML output: softmax, top-k, labelled predictions, bounding-box IoU, letterbox mapping, and non-max suppression. Core ML adapters included.
SemanticImage
A collection of easy-to-use image/video filter.
swift-hf-api
Swift client for Hugging Face's REST APIs
swift-ai
A provider-agnostic Swift SDK for building AI-powered applications. Write once, swap providers with a single line change.
ProximaKit
Pure-Swift vector search for Apple platforms. HNSW from scratch. Zero dependencies. Powered by Accelerate.
Demucs
Swift SDK for HT-Demucs v4 from demucs-rs crate.
SwiftXGBoost
Swift wrapper for XGBoost gradient boosting machine learning framework with Numpy and TensorFlow support.
TensorFlow
Swift high-level API for TensorFlow.
MetalHLO
Bringing StableHLO to Apple Silicon
PredictionBuilder
A library for machine learning that builds predictions using a linear regression.
DecisionTree
A Perfect based solution for Decision Tree in Server Side Swift