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Discover pretrained models for deep learning in MATLAB

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GitHub Stars
88
Curated Resources
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20 hours ago
Last Refreshed
ModelsImage ClassificationObject DetectionSemantic SegmentationInstance SegmentationImage TranslationPose Estimation3D ReconstructionVideo ClassificationText Detection and RecognitionTransformers (Text)Audio EmbeddingsApplication Specific Audio ModelsSpeech to TextLidarManipulator Motion PlanningPath Planning with Motion Planning Networks

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What's inside

Models

Semantic Segmentation

Transformers (Text)

  • all-MiniLM-L12-v2

    Document Embedding, Clustering, Information Retrieval

  • all-MiniLM-L6-v2

    Document Embedding, Clustering, Information Retrieval

  • BERT

    Feature Extraction (Sentence and Word embedding), Text Classification, Token Classification, Masked Language Modeling, Question Answering

  • FinBERT

    The FinBERT model is a BERT model for financial sentiment analysis

  • GPT-2

    The GPT-2 model is a decoder model used for text summarization.

Lidar

Text Detection and Recognition

  • CRAFT

    Trained to detect English, Korean, Italian, French, Arabic, German and Bangla (Indian).

  • Seven Segment Digit Recognition

    Seven segment digit recognition using deep learning and OCR. This is helpful in industrial automation applications where digital displays are often surrounded with complex background.

Application Specific Audio Models

  • CREPE

    Pitch Estimation (regression)

  • vadnet

    Voice Activity Detection (regression)

  • YAMNet

    Sound Classification

Image Translation

  • CycleGAN

    Medical Image Denoising

  • Pix2PixHD(CGAN)

    Synthetic Image Translation

  • UNIT (GAN)

    Medical Image Denoising

  • UNIT (GAN)

    Day-to-Dusk Dusk-to-Day Image Translation

  • VDSR

    Super Resolution (estimate a high-resolution image from a low-resolution image)

Showing a sample of 88 resources. View the full list on GitHub →