snazz2001 Goto Github PK

shaw_bros

shiny-salesman

shinyrgl

Shiny wrappers for RGL (WebGL)

siamese-triplet

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

sisparkproject

skflow

Simplified interface for TensorFlow (mimicking Scikit Learn)

sklearn-pmml

A library that allows serialization of SciKit-Learn estimators into PMML

sklearn_pycon2014

Repository containing files for my PyCon 2014 scikit-learn tutorial.

skll

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

slidifydemo

slope

E. Tufte slope graph implementation in Python

smile

Statistical Machine Intelligence & Learning Engine

smilecnn

Smile detection with a deep convolutional neural net, with Keras.

snabook

Code for "Social Networks for Startups"

snakegame-numpy

softmax-regression

spark-corenlp

CoreNLP wrapper for Spark

sparklingpandas

Pandas On PySpark(POPS)

sparknet

Distributed Neural Networks for Spark

sparse-filtering

Unsupervised feature learning based on sparse-filtering

sparsefiltering

Sparse Filtering

spdc-meetup-20161129

Slides from Stats Programming DC / Data Science DC Meetup on 11/29/2016

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

stacked-autoencoder

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

staplr

PDF Toolkit. :paperclip: :hammer: :wrench: :scissors: :bookmark_tabs: :file_folder::paperclip:

start-with-ds

Slides and materials for the "Start with Data Science as an Introduction to Statistical Thinking" invited session at SDSS 2018

stockinference-spark

Stock inference engine using Spring XD, Apache Geode / GemFire and Spark ML Lib.

strava

Create artistic visualisations with your exercise data

stream-lib

Stream summarizer and cardinality estimator.