1.FluidInference / FluidAudio
Frontier 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.
+58 stars
from 3,191 · score 4.08
Trending repositories
Ranked by Attention Score: stars gained over the last 7 complete days
9 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
2.lutzroeder / netron
Visualizer for neural network, deep learning and machine learning models
+29 stars
from 33,611 · score 3.40
3.ultralytics / yolov5
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
+26 stars
from 58,221 · score 3.30
4.catboost / catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
+12 stars
from 9,174 · score 2.56
5.ultralytics / yolov3
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
+7 stars
from 10,624 · score 2.08
6.likedan / Awesome-CoreML-Models
Largest list of models for Core ML (for iOS 11+)
+3 stars
from 7,065 · score 1.39
7.microsoft / MMdnn
MMdnn 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.
+1 stars
from 5,803 · score 0.69
8.progrium / darwinkit
Native Mac APIs for Go. Previously known as MacDriver
+1 stars
from 5,442 · score 0.69
9.imxieyi / waifu2x-ios
iOS Core ML implementation of waifu2x
+1 stars
from 595 · score 0.69