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sparseconvnet

Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubic or triangular/tetrahedral/hyper-tetrahedral lattices.

sparsefiltering

Sparse Filtering

sparsehash

Automatically exported from code.google.com/p/sparsehash

sparseicp

Automatically exported from code.google.com/p/sparseicp

sparseicp-1

Automatically exported from code.google.com/p/sparseicp

sparselet-release1

Code release for sparselet release 1

sparselsh

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

sparsenet-conv

sparsepp

A fast, memory efficient hash map for C++

sparserbm

Sparse Restricted Boltzmann Machines

sparsevoxeloctree

Sparse Voxel Octree Implementation - Upenn CIS-565 final project

sparsifiedkmeans

KMeans for big data using preconditioning and sparsification, Matlab implementation

spatial-density-filter

Filter point clouds using spatial density information

spatial-media

Specifications and tools for 360º video.

spatial-temporal-fct

spatial-transformer-augmented-faster-r-cnn

Part of my implmentation for deep detection framework proposed specifically for hand detection

spatial-transformer-tensorflow

Tensorflow Implementation of Spatial Transformer Networks

spatialdataindexing

spatialtransformerlayer

spatio-temporal-feature-learning-for-sign-language-using-3d-convolutional-networks

spca

Scalable PCA (sPCA) is a scalable implementation of Principal component analysis algorithm on top of Spark

spcslam

speaker-recognition

A Real-time Speaker Recognition System with GUI

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

spearmint-1

Spearmint Bayesian optimization codebase

spectra

A header-only C++ library for large scale eigenvalue problems

spectral

Spectral clustering

spectral-clustering-demo

A fun review of spectral clustering with MATLAB demos I made for the NU machine learning meetiup in 2014

spectral-recursive-filter

This is a sample implementation of the spectral recursive filter, which is a fast and accurate constant-time Gaussian filtering algorithm proposed by K. Sugimoto and S. Kamata in 2012-2013.

spectralmeirl

Spectral Method for Multiple Experts Inverse Reinforcement Learning