Hardware-Aware DL Model Zoo

Find the best deep learning model and inference Hardware for your application

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Model Zoo

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odV100

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Model Selection, Simplified.

Deci’s model zoo includes pre-trained and optimized PyTorch-based computer vision models

Supported Tasks: Image classification, semantic segmentation and Object detection tasks.

The model zoo includes open source and proprietary models auto-generated by Deci’s Neural Architecture construction engine (AutoNAC).

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What can you do with deci’s platform

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Deci’s model zoo includes pre-trained and optimized PyTorch-based computer vision models

Generate Tailored Architectures

Automatically find accurate & fast architectures tailored for your application, hardware and performance targets with Deci’s AutoNAC engine.

Simplify Training

Leverage proven recipes and hyperparameters with Deci’s PyTorch based open source training library (SuperGradients).

Automated Runtime Optimization

Automatically Compile and Quantize your models and evaluate different production settings. (OpenVINO, TensorRT etc).

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					from transformers import AutoFeatureExtractor, AutoModelForImageClassification

extractor = AutoFeatureExtractor.from_pretrained("microsoft/resnet-50")

model = AutoModelForImageClassification.from_pretrained("microsoft/resnet-50")