art-DCGAN Alternatives

Similar projects and alternatives to art-DCGAN

pix2pix

13 9,859 0.0 Lua art-DCGAN VS pix2pix

Image-to-image translation with conditional adversarial nets
open-brush

50 740 9.1 C# art-DCGAN VS open-brush

Open Brush is the open source, community led evolution of Tilt Brush! Forked from https://github.com/googlevr/tilt-brush
InfluxDB

www.influxdata.com sponsored

Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
mypaint

25 2,602 7.3 Python art-DCGAN VS mypaint

MyPaint is a simple drawing and painting program that works well with Wacom-style graphics tablets.
CycleGAN

2 12,138 2.5 Lua art-DCGAN VS CycleGAN

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
SharpQuill

1 10 4.6 C# art-DCGAN VS SharpQuill

SharpQuill is an open source .NET library for reading and writing Oculus Quill scenes.
nonflowers

3 494 0.0 JavaScript art-DCGAN VS nonflowers

Procedurally generated paintings of nonexistent flowers.
PaintingStoner

1 4 4.8 JavaScript art-DCGAN VS PaintingStoner

Webapp for optimizing projector guided painting.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better art-DCGAN alternative or higher similarity.

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art-DCGAN reviews and mentions

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

Study highlights how AI models take potentially dangerous 'shortcuts' in solving complex recognition tasks
1 project | /r/singularity | 17 Sep 2022

Motion planning, reasoning, and continual learning can be as far away as image generation was in 2017 (do you remember those messes that sometimes resembled the topic? https://github.com/robbiebarrat/art-DCGAN for reference ). GATO, GPT-3 and various continual learning approaches are roughly at the same stage now.