Popular GitHub Repositories for Cell Clusters

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

Simple, scalable AI model deployment on GPU clusters

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

StarDist - Object Detection with Star-convex Shapes

prima.cpp: Speeding up 70B-scale LLM inference on low-resource everyday home clusters

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

Deep Learning Library for Single Cell Analysis

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

? 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

Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety cone coordinates to create monitored zones. Post-processing algorithms improve detection accuracy.

Topological Deep Learning

An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.

Nested LSTM Cell

A python package for simulating movement and spatial cell types (e.g. place cells, grid cells) in continuous environments.

Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]

Message Passing Neural Networks for Simplicial and Cell Complexes