rock-paper-scissors
🎲 Application of Computer Vision to the classic game Rock-Paper-Scissors (by roma-glushko)
Deep_conv_gen_gan
This is a deep convolutional generative adversarial network code base used to produce artificial images of faces. (by giovannidmilana)
rock-paper-scissors | Deep_conv_gen_gan | |
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1 | 2 | |
5 | 0 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | almost 3 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.
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.
rock-paper-scissors
Posts with mentions or reviews of rock-paper-scissors.
We have used some of these posts to build our list of alternatives
and similar projects.
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Rock, paper, scissors game powered by MobileNetV2 and Tensorflow.js
Repo: https://github.com/roma-glushko/rock-paper-scissors
Deep_conv_gen_gan
Posts with mentions or reviews of Deep_conv_gen_gan.
We have used some of these posts to build our list of alternatives
and similar projects.
-
AI to produce artificial faces.
Using tensor flow and python i made a DCGAN to produce artificial images of human faces. See GitHub GitHub.
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Deep convolutional generative Adversarial neural net to produce images of faces
Using tensor flow and 30,000 samples from celebA dataset i trained a DCGan to produce 128x128x3 images of faces. Check out the github and images produced. GitHub