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Jacopo Mangiavacchi

Published in

TDS Archive

Optimizing Style Transfer Models for Videos on Mobile Devices

Experimenting wth PyTorch Lighting and Flash flexibility to create a face-to-cartoon model

Jan 18, 2022

Optimizing Style Transfer Models for Videos on Mobile Devices

Jan 18, 2022

Optimize a face to cartoon style transfer model, trained quickly on small style dataset, and…

Hugging Face Spaces demo at: http://huggingface.co/spaces/Jacopo/ToonClip

Jan 17, 2022

Optimize a face to cartoon style transfer model, trained quickly on small style dataset, and…

Jan 17, 2022

Published in

Data Science at Microsoft

A tale of two frameworks: PyTorch vs. TensorFlow

Comparing auto-diff and dynamic model sub-classing approaches with PyTorch 1.x and TensorFlow 2.x

Feb 2, 2021

A tale of two frameworks: PyTorch vs. TensorFlow

Feb 2, 2021

Published in

TDS Archive

AutoDiff and Dynamic Subclassed Models with PyTorch Vs TensorFlow

Comparing AutoDiff and Dynamic Model Sub-classing approaches between PyTorch 1.x and TensorFlow 2.x, training from scratch a Linear…

Oct 13, 2020

AutoDiff and Dynamic Subclassed Models with PyTorch Vs TensorFlow

Oct 13, 2020

AutoDiff and Dynamic Subclassed Models with PyTorch Vs TensorFlow

Comparing AutoDiff and Dynamic Model Sub-classing approaches between PyTorch 1.x and TensorFlow 2.x, training from scratch a Linear…

Oct 12, 2020

AutoDiff and Dynamic Subclassed Models with PyTorch Vs TensorFlow

Oct 12, 2020

Published in

TDS Archive

Use Apple new ML Compute framework to accelerate ML training and inferencing on iOS and macOS

Hacking the new Apple ML Compute framework to accelerate training of neural networks across CPU and GPU

Jul 17, 2020

Use Apple new ML Compute framework to accelerate ML training and inferencing on iOS and macOS

Jul 17, 2020

ML Compute

Hacking the new Apple ML Compute framework to accelerate training of neural networks across CPU and GPU

Jul 16, 2020

ML Compute

Jul 16, 2020

Published in

Heartbeat

Fully Training a Core ML Convolutional Neural Network On-Device

Did you know you can fully train a LeNet convolutional neural network (CNN) directly on iOS devices?

May 7, 2020

Fully Training a Core ML Convolutional Neural Network On-Device

May 7, 2020

MNIST CNN Core ML Training

Did you know you can fully train a LeNet Convolutional Neural Network model with the MNIST dataset directly on iOS devices ? And that the…

Apr 26, 2020

MNIST CNN Core ML Training

Apr 26, 2020

Published in

Heartbeat

Core ML On-Device Training, with Transfer Learning from Swift for TensorFlow Models

A demonstration of the potentiality of the SwiftCoreMLTools library in a long journey towards a Swift federated learning infrastructure

Mar 27, 2020

Core ML On-Device Training, with Transfer Learning from Swift for TensorFlow Models

Mar 27, 2020

Jacopo Mangiavacchi

Jacopo Mangiavacchi

Microsoft Principal Data Scientist — Google Machine Learning Developer Expert (ML GDE) — Former  + IBM Senior Architect and Engineer

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