DeepSeek Harness: Everything is a Plugin.

Cell clustering for spatial transcriptomics data with graph neural network

tools and notes for spatial omics

This is a comprehensive list of Heterogeneous Transfer Learning methods with their resource (paper, code and data).

Deep learning model used to detect RNA m6a with read level based on the Nanopore direct RNA data.

Spatial mapping of cell types by integration of transcriptomics data

Deep probabilistic analysis of single-cell and spatial omics data

Graph-linked unified embedding for single-cell multi-omics data integration

Python client for Baidu Yun (Personal Cloud Storage) 百度云/百度网盘Python客户端

RNA Velocity generalized through dynamical modeling

Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses

RNA velocity estimation in Python

R toolkit for single cell genomics

CellRank for directed single-cell fate mapping

pyGPCCA - python GPCCA: Generalized Perron Cluster Cluster Analysis package to coarse-grain reversible and non-reversible Markov state models.

CellRank: dynamics from multi-view single-cell data

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

Easy-to-use and powerful LLM and SLM library with awesome model zoo.

DeepEdit: single-molecule detection and phasing of A-to-I RNA editing events using Nanopore direct RNA sequencing

Ultra-fast methylation calling and event alignment tool for nanopore sequencing data (supports CUDA acceleration)

生物信息学交流资料

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

A PyTorch Basecaller for Oxford Nanopore Reads

A PyTorch implementation of Inception-v4 and Inception-ResNet-v2.