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pae

Probabilistic Auto-Encoder

pakman

A modular, efficient and portable tool for running parallel approximate Bayesian computation algorithms.

paynelabdata

This repository holds all data published by the Payne Lab, and methods for access and use

plotnine

A grammar of graphics for Python

pn2v

This is our implementation of Probabilistic Noise2Void

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

py3dmol

pymc4

A high-level probabilistic programming interface for TensorFlow Probability

pyro

Deep universal probabilistic programming with Python and PyTorch

pysal

PySAL: Python Spatial Analysis Library Meta-Package

pyspacell

A Python package for single-cell spatial image analysis.

python-bioimage-analysis-tutorial

The new and improved 2018 version of the EMBL Python BioImage Analysis Tutorial. Now finally in python 3!

pytorch_fnet

Three dimensional cross-modal image inference

pyvenn

2 ~ 6 sets venn diagram for python

rstoolbox

Python Toolbox For Rosetta Silent Files Processing

scanpy

Single-Cell Analysis in Python. Scales to >1M cells.

scarches

Query to reference mapping for single-cell genomics

scphere

scrnaseq_analysis_vignette

Tutorial for scRNA-seq data analysis beginners using R

shad

Scalable High-performance Algorithms and Data-structures

signed-ks-test

A modified R ks.test to obtain sign and force exact p-value.

snftool

Similarity Network Fusion

structuremap

Python package for investigating the structural context of PTMs

structuremap_analysis

Analysis workflow for investigating the structural context of PTMs

tangram

Spatial alignment of single cell transcriptomic data.

tsne-umap-embedding-visualisation

A Simple and easy to use way to Visualise Embeddings!

tysserand

Fast reconstruction of spatial networks from bioimages.

umap

Uniform Manifold Approximation and Projection

vedo

A python module for scientific analysis of 3D data

wesanderson

A Wes Anderson color palette for R