HyperGAN
student-teacher-anomaly-detection
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| HyperGAN | student-teacher-anomaly-detection | |
|---|---|---|
| 2 | 1 | |
| 1,190 | 172 | |
| 0.1% | - | |
| 0.0 | 0.0 | |
| about 1 year ago | over 2 years ago | |
| Python | Python | |
| MIT License | - |
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HyperGAN
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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.
student-teacher-anomaly-detection
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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
What are some alternatives?
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.
hifigan-denoiser - HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks
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).
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
pytorch-pretrained-BigGAN - 🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)
ALAE - [CVPR2020] Adversarial Latent Autoencoders
Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"