Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments

Repo of ACL 2025 main Paper "Quantification of Large Language Model Distillation"

获取中国国家统计局网站数据。

A framework for Quantification written in Python

Pruning and quantization for SSD. Model compression.

A pipeline to assess the quantification of transcripts.

An open-source Python package for accurate and sensitive peptide and protein quantification.

ORF Quantification pipeline for Alternative Splicing

QuantificationLib is an open-source library for quantification learning.

KNRScore is a Python package for computing K-Nearest-Rank Similarity, a metric that quantifies local structural similarity between two maps or embeddings.

[NeurIPS 2024] An advanced persona-driven role-playing system with global faithfulness quantification and optimization. In memory of the Koishi's Day of 2024.

Pipeline for RNA-seq analysis

pyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data

🏥 Quantification of Parkinsonian and Essential Tremor using a novel, bluetooth-integrated accelerometer based system

Tissue segmentation and quantification on histopathological images

A Python Quantification Library

This repository contains the software developed for our 2020 publication to Journal of Clinical Medicine, on the topic of "Segmentation and Quantification of Retinal Capillary Non-Perfusion on Ultra-Wide-Field Retinal Fluorescein Angiography"

MyoQuant🔬: a tool to automatically quantify pathological features in muscle fiber histology images. Demo version deployed at: https://huggingface.co/spaces/corentinm7/MyoQuant

Python interface to detect and quantify intranuclear proteins

Preprocess, noise-reduction, threshold & quantify images to get box plots for each class (mainly cell cultures of different cel llines). Colocalization due to a naive trick of counting all overlapping signals/pixels. Could be done in ImageJ as well, but i thought this is better suited than fiddling with macros.