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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
《Python Cookbook》 3rd Edition Translation
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
IPython Parallel: Interactive Parallel Computing in Python
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"
Jupyter widget to interactively view molecular structures and trajectories
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
A library for creating complex UpSet plots with ggplot2 geoms
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Segment Anything for Microscopy
Data Analysis with Bootstrapped ESTimation
Reference mapping for single-cell genomics
Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data
Mapping out the coarse-grained connectivity structures of complex manifolds.
Python library to access Gene Expression Omnibus Database (GEO)
Sequana: a set of Snakemake NGS pipelines
Transformer for One-Stop Interpretable Cell-type Annotation
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data
Doublet detection in single-cell RNA-seq data.
CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology
Prize-Collecting Steiner Forests for Interactomes
Python package and command line tool for epitope prediction
Accurate and fast cell marker gene identification with COSG
Low-dimensional Projection of Single Cell Velocity