Popular GitHub Repositories for Raw Cell

Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

SincNet is a neural architecture for efficiently processing raw audio samples.

StarDist - Object Detection with Star-convex Shapes

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

VectorFlow is a high volume vector embedding pipeline that ingests raw data, transforms it into vectors and writes it to a vector DB of your choice.

一种基于迭代多大型语言模型的共识框架，用于提高单细胞RNA测序数据中细胞类型注释的准确性

[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image Enhancement, Bokeh rendering and more!

Deep Learning Library for Single Cell Analysis

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

DANCE: a deep learning library and benchmark platform for single-cell analysis

Generating RGB photos from RAW image files with PyNET (PyTorch)

? immunarch [R package] – Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires

Scientific Large Language Models: A Survey on Biological & Chemical Domains

Single cell perturbation prediction

CellViT: Vision Transformers for Precise Cell Segmentation and Classification