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simkern

Python codebase for generating and exploring similarity-based kernels for machine learning

single-cell-classification

We use two kinds of neural networks: Multilayer Perceptron (MLP) and Recurrent Neural Network (RNN) to predict the single-cell cycle stage based on transcriptome data.

single-cell-pseudotime

An overview of algorithms for estimating pseudotime in single-cell RNA-seq data

single_cell_portal

Tutorials, workflows, and convenience scripts for Single Cell Portal

singlecellnet

SingleCellNet: classify single cells across species and platforms

snakemake_tutorial

A short tutorial on getting started with Snakemake for workflow management

springboard-s-foundations-of-data-science-workshop

springboarddatascience_workshop

ssrge

stiff-pinn

stream

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

survivalnet

Deep learning survival models

svidur

swmpr

r package for accessing, processing, and evaluating data from SWMP of NERRS

tabula-muris

Code and annotations for the Tabula Muris single-cell transcriptomic dataset.

tabula-py

Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

tensorflow

Computation using data flow graphs for scalable machine learning

tf-objectdetector

tf-tpu-set

tf_target_white_box_dl

tfea

Transcription Factor Enrichment Analysis

the-photoswitch-dataset

Repository containing a benchmark dataset for machine learning property prediction of photoswitch molecules: https://arxiv.org/abs/2008.03226

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

time_series_calssification

torch-kalman

An implementation of kalman-filters for multivariate time-series in PyTorch

torsionnet_paper_version

trajectorynet

TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

transcriptutorial

This is a tutorial to guide the analysis of RNAseq dataset using footprint based tools such as DOROTHEA, PROGENY and CARNIVAL

travelgan

tt_rnn