Machine Learning - Core ML Models
Contents_Index
Speech Processing
25_ENTRIES-
Streaming ASR – Real-time streaming speech recognition engine for iOS. Uses Fast Conformer + CTC, runs fully on device.Download | Demo | Reference
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Keyword Spotting (KWS) – On-device keyword spotting engine using lightweight CRNN architecture, optimized for mobile devices.Download | Demo | Reference
Tools that help visualize CoreML Models
Individual machine learning models that could be converted to Core ML. We'll keep adjusting the list as they become converted.
- Distributed under the MIT license. See LICENSE for more information.
- Netron
List of model formats that could be converted to Core ML with examples
- Torch7
Collections of machine learning models that could be converted to Core ML
- Caffe Model Zoo
Big list of models in Caffe format.
- TensorFlow Models
Models for TensorFlow.
- TensorFlow Slim Models
Another collection of TensorFlow Models.
- MXNet Model Zoo
Collection of MXNet models.
- LaMem
Score the memorability of pictures.
- ILGnet
The aesthetic evaluation of images.
- Colorization
Automatic colorization using deep neural networks.
- Illustration2Vec
Estimating a set of tags and extracting semantic feature vectors from given illustrations.
- CTPN
Detecting text in natural image.
- Image Analogy
Find semantically-meaningful dense correspondences between two input images.
- iLID
Automatic spoken language identification.
- Fashion Detection
Cloth detection from images.
- Saliency
The prediction of salient areas in images has been traditionally addressed with hand-crafted features.
- Face Detection
Detect face from image.
- mtcnn
Joint Face Detection and Alignment.
- deephorizon
Single image horizon line estimation.
