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scikit-tensor

Python library for multilinear algebra and tensor factorizations

scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

scni_toolbar

A Matlab / GNU Octave toolbox for running cognitive neurophysiology and neuroimaging experiments that involve PsychToolbox, DataPixx, and (optionally) TDT or OpenEphys hardware devices.

scorpius

Trajectory inference for single-cell RNA-seq

scripts

A collection of small utilities written in shell or Python 3.

scrl

scrna.seq.course

Analysis of single cell RNA-seq data course, Cambridge University, UK

scrnaseq_clustering_comparison

A study to compare methods for clustering of scRNA-seq data

sdml

Supervised Distance Metric Learning with R

seetafaceengine

segmentation

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

seh

Regularized Semi-NMF for Hashing

semantic-image-segmentation-using-contextual-hierarchical-models

Developed a segmentation framework to use Contextual Hierarchical Models with CNNs to segment images and produced results with improved pixel-wise and class average accuracy.

semantic-segmentation-evaluation

Semantic Segmentation Evaluation

semanticlabelingtool

Tool to create ground truth semantic segmentation masks using super pixels

semanticsegmentation_dl

Resources of semantic segmantation based on Deep Learning model

seurat

R toolkit for single cell genomics

sgdlibrary

Matlab library for stochastic gradient descent algorithms: Version 1.0.4

shap

A game theoretic approach to explain the output of any machine learning model.

shogun

Shōgun

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

sifcm

Image Segmentation using Spatial Intuitionistic Fuzzy C Means Clustering

signalgraph

Matlab-based deep learning toolkit that supports arbitrary directed acyclic graphs (DAG). Support DNN, LSTM, CNN layers and many signal processing layers. Include recipes/examples of using the tool for various tasks.

simgnn

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

simple-neural-network

A simple Python script showing how the backpropagation algorithm works.

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

simplydeep

A simple introduction to deep learning

single-layer-cnn-on-mnist

A single Layer CNN on MIST, get an acurray of 97.24%

single_cell_intestine

R code for single-cell analysis of intestinal epithelial cells

skll

SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.