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🦜🔗 Build context-aware reasoning applications
Streamlit — A faster way to build and share data apps.
Finetune Llama 3.2, Mistral, Phi, Qwen 2.5 & Gemma LLMs 2-5x faster with 80% less memory
Langchain-Chatchat（原Langchain-ChatGLM）基于 Langchain 与 ChatGLM, Qwen 与 Llama 等语言模型的 RAG 与 Agent 应用 | Langchain-Chatchat (formerly langchain-ChatGLM), local knowledge based LLM (like ChatGLM, Qwen and…
Pre-trained Multimodal Large Language Model Enhances Dermatological Diagnosis using SkinGPT-4
Join subcellular Visium HD bins into cells
The First Innovative Tool to Comprehensively Assess T Cell States
An easy-to-use, flexible website template for labs.
Associated code to the manuscript "Characterization of immune cell populations in the tumor microenvironment of colorectal cancer using high definition spatial profiling"
CellBender is a software package for eliminating technical artifacts from high-throughput single-cell RNA sequencing (scRNA-seq) data.
a generalist algorithm for cellular segmentation with human-in-the-loop capabilities
Bayesian Segmentation of Spatial Transcriptomics Data
DANCE: a deep learning library and benchmark platform for single-cell analysis
Homepage: https://miaozhun.github.io/DEsingle. Bioconductor page: https://bioconductor.org/packages/DEsingle.
Tools and methods for analysis of single cell assay data in R
An open source and flexible pipeline to analysis high-throughput DNBelab C Series single-cell RNA datasets
Deep count autoencoder for denoising scRNA-seq data
scPretrain: Multi-task self-supervised learning for cell type classification
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Must-read papers on deep learning based methodology paper for single cell data analysis