profiling
torch-profiling-trace-diffusersprofiling-pytorch
Profiling in PyTorch Scripts
Holds all the scripts used for the series "Pofiling in PyTorch"
pro6-profiling-vaeauthor_profilinghe corpus for the author profiling analysis contains texts in Russian-language which labeled for 5 tasks:
1) gender -- 13530 texts with the labels, who wrote this: text female or male;
2) age -- 13530 texts with the labels, how old the person who wrote the text. This is a number from 12 to 80. In addition, for the classification task we added 5 age groups: 1-19; 20-29; 30-39; 40-49; 50+;
3) age imitation -- 7574 texts, where crowdsource authors is asked to write three texts:
a) in their natural manner,
b) imitating the style of someone younger,
c) imitating the style of someone older;
4) gender imitation -- 5956 texts, where the crowdsource authors is asked to write texts: in their origin gender and pretending to be the opposite gender;
5) style imitation -- 5956 texts, where crowdsource authors is asked to write a text on behalf of another person of your own gender, with a distortion of the authors usual style.B.longum_CAZyme_Profiling
Comprehensive Profiling of the Bifidobacterium longum NCC2705 CAZome
Overview
This repository constitutes a robust, automated computational pipeline designed for the deep profiling and structural characterization of the Carbohydrate-Active enZymes (CAZome) repertoire of Bifidobacterium longum strain NCC2705. The analytical framework leverages high-throughput sequence homology and hidden Markov model (HMM) profile alignments against the dbCAN, CAZy, and… See the full description on the dataset page: https://huggingface.co/datasets/QasimHussain/B.longum_CAZyme_Profiling.b200-profiling-vae