ArtLine VS S2ML-Art-Generator

Compare ArtLine vs S2ML-Art-Generator and see what are their differences.

S2ML-Art-Generator

Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content [Moved to: https://github.com/justin-bennington/S2ML-Generators] (by justin-bennington)
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ArtLine S2ML-Art-Generator
12 1
3,531 101
- -
1.4 7.3
about 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ArtLine

Posts with mentions or reviews of ArtLine. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.

S2ML-Art-Generator

Posts with mentions or reviews of S2ML-Art-Generator. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing ArtLine and S2ML-Art-Generator you can also consider the following projects:

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

S2ML-Generators - Multiple notebooks which allow the use of various machine learning methods to generate or modify multimedia content

Toon-Me - A Deep Learning project to Toon Portrait Images

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Disco_Diffusion_Local - Getting the latest versions of Disco Diffusion to work locally, instead of colab. Including how I run this on Windows, despite some Linux only dependencies ;)

U-2-Net - The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

doohickey - Doohickey is a stable diffusion tool for technical artists who want to stay up-to-date with the latest developments in the field.

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

clip-retrieval - Easily compute clip embeddings and build a clip retrieval system with them