|7 months ago||13 days ago|
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[R] Introduction to Fast Dense Feature Extraction -- A fast way to extract visual features for many patches from an image
3 projects | reddit.com/r/MachineLearning | 31 Jul 2021
Code for https://arxiv.org/abs/1911.02357 found: https://github.com/denguir/student-teacher-anomaly-detection
Machine learning software that generates images?
1 project | reddit.com/r/AskProgramming | 15 Nov 2021
And then there's software already prebaked that can do it, but its really taxing on a pc, its called hyperGAN.
So I trained an AI to generate Pokemon sprites and this is the result
1 project | reddit.com/r/teenagers | 21 Jan 2021
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?
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)