student-teacher-anomaly-detection VS HyperGAN

Compare student-teacher-anomaly-detection vs HyperGAN and see what are their differences.

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student-teacher-anomaly-detection HyperGAN
1 2
112 1,161
- 0.1%
0.3 0.0
7 months ago 9 days 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.

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.

HyperGAN

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

What are some alternatives?

When comparing student-teacher-anomaly-detection and HyperGAN you can also consider the following projects:

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

image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.

DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)