# neural-style **Repository Path**: deeplearningrepos/neural-style ## Basic Information - **Project Name**: neural-style - **Description**: Neural style in TensorFlow! 🎨 - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-03-30 - **Last Updated**: 2021-08-31 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # neural-style [![Build Status](https://github.com/anishathalye/neural-style/workflows/CI/badge.svg)](https://github.com/anishathalye/neural-style/actions?query=workflow%3ACI) An implementation of [neural style][paper] in TensorFlow. This implementation is a lot simpler than a lot of the other ones out there, thanks to TensorFlow's really nice API and [automatic differentiation][ad]. TensorFlow doesn't support [L-BFGS][l-bfgs] (which is what the original authors used), so we use [Adam][adam]. This may require a little bit more hyperparameter tuning to get nice results. ## Related Projects See [here][lengstrom-fast-style-transfer] for an implementation of [fast (feed-forward) neural style][fast-neural-style] in TensorFlow. **[Try neural style](https://tenso.rs/demos/fast-neural-style/) client-side in your web browser without installing any software (using [TensorFire](https://tenso.rs/)).** ## Running `python neural_style.py --content --styles