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Repositories in this selection 13 · UTC 2026-11-03
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1—Uultralytics / yolov5Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.PythonAGPL-3.0 · Share derivative sourceInsufficient rank history58,24917,446——2026-11-01
2—Llutzroeder / netronVisualizer for neural network, deep learning and machine learning modelsJavaScriptMIT · PermissiveInsufficient rank history33,6463,194——2026-11-01
3—Uultralytics / yolov3PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.PythonAGPL-3.0 · Share derivative sourceInsufficient rank history10,6313,412——2026-11-01
4—Ccatboost / catboostGradient boosting library for ranking, classification, regression, and related machine learning tasks.C++Apache-2.0 · PermissiveInsufficient rank history9,1901,353——2026-11-02
5—MMochiDiffusion / MochiDiffusionRun Stable Diffusion on Mac nativelySwiftGPL-3.0 · Share derivative sourceInsufficient rank history7,972366——2026-11-02
6—Llikedan / Awesome-CoreML-ModelsLargest list of models for Core ML (for iOS 11+)PythonMIT · PermissiveInsufficient rank history7,070510——2025-06-17
7—Mmicrosoft / MMdnnMMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.PythonMIT · PermissiveInsufficient rank history5,804951——2025-08-07
8—Pprogrium / darwinkitNative Mac APIs for Go. Previously known as MacDriverGoMIT · PermissiveInsufficient rank history5,444179——2025-03-08
9—Aapple / coremltoolsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.PythonBSD-3-Clause · PermissiveInsufficient rank history5,441871——2026-09-30
10—TTencent / TNNTNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.C++NOASSERTION · Restricted / unknownInsufficient rank history4,664771——2025-05-09
11—PPINTO0309 / PINTO_model_zooA repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.PythonMIT · PermissiveInsufficient rank history4,633669——2026-10-24
12—FFluidInference / FluidAudioFrontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.SwiftApache-2.0 · PermissiveInsufficient rank history3,252501——2026-11-01
13—Cchristopherkarani / WaxShared 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 SwiftSwiftApache-2.0 · PermissiveInsufficient rank history80655——2026-11-02
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