A few stylization coreML models that I've trained with CreateML

Last update: Aug 18, 2022

Overview

CoreML-StyleTransfer

A few stylization coreML models that I've trained with CreateML

You can open and use the .mlmodel files in the "models" folder in Xcode:

You can also use test-all-styles.py as reference for inference using Python.

Here are inference examples for all the styles in this repository:

If you end up using these styles in your own projects, I'd be glad if you let me know :)

Owner

Doron Adler

GitHub Repository

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

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A few stylization coreML models that I've trained with CreateML

Related tags

Overview

CoreML-StyleTransfer

Owner

Doron Adler

A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition

Transfer Reinforcement Learning for Differing Action Spaces via Q-Network Representations

Creative Applications of Deep Learning w/ Tensorflow

Learning Optical Flow from a Few Matches (CVPR 2021)

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

HIVE: Evaluating the Human Interpretability of Visual Explanations

Neighbor2Seq: Deep Learning on Massive Graphs by Transforming Neighbors to Sequences

Python package for dynamic system estimation of time series

Official implementation of "Generating 3D Molecules for Target Protein Binding"

Official Implementation of "LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks"

Team nan solution repository for FPT data-centric competition. Data augmentation, Albumentation, Mosaic, Visualization, KNN application

Pytorch implementation of AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

Official repository for the paper F, B, Alpha Matting

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