|7 months ago||9 months ago|
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
protein-bert-pytorch VS provis - a user suggested alternative
2 projects | 8 Feb 2022
[R] ProteinBERT: A universal deep-learning model of protein sequence and function
1 project | reddit.com/r/MachineLearning | 1 Jun 2021
What are some alternatives?
tape - Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
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".
HyperGAN - Composable GAN framework with api and user interface
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"
provis - Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)