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seqface

shogun

Shōgun

shufflenet-tensorflow

A ShuffleNet implementation tested on Tiny ImageNet dataset

shufflenet-v2-pytorch

Perfect implement. Model shared. x0.5 (Top1:60.646) and 1.0x (Top1:69.402).

siamese-triplet

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

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

siftgpu

simlr

Single-cell Interpretation via Multi-kernel Learning (R code in master branch, Matlab code in matlab branch), implementations of the method published in http://www.nature.com/nmeth/journal/vaop/ncurrent/full/nmeth.4207.html.

simpledet

A Simple and Versatile Framework for Object Detection and Instance Recognition

sketchml

Accelerating Distributed Machine Learning with Data Sketches

skorch

A scikit-learn compatible neural network library that wraps pytorch

slam

learning SLAM,curse,paper and others

slam-future

slambook

smooth-topk

Smooth Loss Functions for Deep Top-k Classification

sngan_projection

GANs with spectral normalization and projection discriminator

snorkel

A system for quickly generating training data with weak supervision

sod

SOD - An Embedded, Modern Computer Vision & Machine Learning Library

softmc

SoftMC is an experimental FPGA-based memory controller design that can be used to develop tests for DDR3 SODIMMs using a C++ based API. The design, the interface, and its capabilities and limitations are discussed in our HPCA 2017 paper: "SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies" <https://people.inf.ethz.ch/omutlu/pub/softMC_hpca17.pdf>

spark

Mirror of Apache Spark

spark-ml-source-analysis

spark ml 算法原理剖析以及具体的源码实现分析

sparkwiki

sparse-to-dense

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image"

sparseconvnet

Submanifold sparse convolutional networks

spectral-graph-alignment

Spectral Alignment of Graphs

spectralclustering_randombinning

SpectralClustering_RandomBinning (SC_RB) is a simple code for scaling up spectral clustering on large-scale datasets.

spectralnet

Deep network that performs spectral clustering

sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

sphereface-1

PyTorch implementation of SphereFace, gradients MODIFIED to make it more stable following exactly Weiyang's Caffe implementation.

sphereface-ms-celeb-1m

Face Recognition Using A-Softmax_loss on light cleaned Ms_celeb-1M dataset