student-teacher-anomaly-detection
Student–Teacher Anomaly Detection with Discriminative Latent Embeddings (by denguir)
HyperGAN
Composable GAN framework with api and user interface (by HyperGAN)
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student-teacher-anomaly-detection | HyperGAN | |
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1 | 2 | |
172 | 1,189 | |
- | 0.0% | |
0.0 | 0.0 | |
over 2 years ago | about 1 year ago | |
Python | Python | |
- | 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.
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.
student-teacher-anomaly-detection
Posts with mentions or reviews of student-teacher-anomaly-detection.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-31.
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[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
HyperGAN
Posts with mentions or reviews of HyperGAN.
We have used some of these posts to build our list of alternatives
and similar projects.
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Machine learning software that generates images?
And then there's software already prebaked that can do it, but its really taxing on a pc, its called hyperGAN.
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So I trained an AI to generate Pokemon sprites and this is the result
There is something called HyperGAN which builds generative adversarial networks (GANs) and those networks take some images as input and give those as output. Here is the GitHub page for that.
What are some alternatives?
When comparing student-teacher-anomaly-detection and HyperGAN you can also consider the following projects:
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks