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awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

deeplearning-models

A collection of various deep learning architectures, models, and tips

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

models

Models and examples built with TensorFlow

mustang

MUSTANG: reference-free MUlti-sample Spatial Transcriptomics data ANalysis with cross-sample transcriptional similarity Guidance

namini94.github.io

nanopore

prml

PRML algorithms implemented in Python

probability

Probabilistic reasoning and statistical analysis in TensorFlow

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

recommenders

Best Practices on Recommendation Systems

scbalf_hackathon

Biomarker identification for COVID-19 Severity in BALF cells Single-cell RNA-seq data

simcd

SimCD: Simultaneous Clustering and condition-specific Differential expression analysis for single-cell transcriptome data

sivi

Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)

star

RNA-seq aligner

starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

stdeconvolve

Reference-free cell-type deconvolution of multi-cellular spatially resolved transcriptomics data