Search Results for "automatic differentiation"

Sort By:

Showing 1 open source project for "automatic differentiation"

View related business solutions

System Mac Clear Filters & Widen Search

Save Up to 91% on Cloud Compute With Spot VMs
Automatic sustained-use discounts. One free VM per month. No negotiation needed.

Run batch jobs at 60-91% off with Spot VMs. Long-running workloads get automatic discounts with sustained use.

Try Free
Host LLMs in Production With On-Demand GPUs
NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.

Try Free
1

neural-style in TensorFlow

Neural style in TensorFlow

neural-style in TensorFlow is a TensorFlow implementation of neural style transfer. It creates a new image by combining the content of one image with the artistic style of one or more style images. The project uses TensorFlow automatic differentiation and the Adam optimizer rather than the original L-BFGS approach. Users can run it from the command line by providing a content image, style image inputs, and an output path. It supports checkpoint outputs, iteration control, style blending, and hyperparameter tuning for content weight, style weight, and learning rate. ...

Downloads: 0 This Week

Last Update: 2026-06-25
See Project

Previous
You're on page 1
Next