|7 months ago||23 days ago|
|-||Apache License 2.0|
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.
[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
Researchers From Tel Aviv University, UC Berkeley and NVIDIA Introduce ‘DETReg’, A Novel Unsupervised AI For Object Detection
1 project | reddit.com/r/computervision | 1 Aug 2021
What are some alternatives?
image-quality-assessment - Convolutional Neural Networks to predict the aesthetic and technical quality of images.
HyperGAN - Composable GAN framework with api and user interface
protein-bert-pytorch - Implementation of ProteinBERT in Pytorch
autogluon - AutoGluon: AutoML for Image, Text, and Tabular Data
ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)
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)