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sequence-to-general-tree

services-to-wordcloud

Tiny python utility that converts data crawled from different services into cloud of words.

serving

A flexible, high-performance serving system for machine learning models

sf1r-ad-delivery

Advertising delivery engine based on SF1R

sf1r-lite

Search Formula-1——A distributed high performance massive data engine for enterprise/vertical search

sgdtk

A Java library for Stochastic Gradient Descent (SGD)

short-text-classification

short-text-hashing-hmtt

This is the code for the papers [Short Text Hashing Improved by Integrating Multi-Granularity Topics and Tags. CICLing 2015]

simhash-java

A simple implementation of simhash algorithm by java.

simple-gbdt

a simple gradient boost classification tree implemented with python without any other lib dependence.

simple_hmm

a simple hidden Markov model in python for tagging POS, segmentation and named entity recognition.

simpleparser

Simple first order graph-based natural language parser.

skeleton

A neat python web frame work

sklearn-deeprl

Deep reinforcement learning. In scikit-learn. In less than 50 effective lines.

slpmf

Fast Non-negative Matrix Factorization under KL-Divergence: A Case for Link Prediction

smile

Statistical Machine Intelligence & Learning Engine

snownlp

Python library for processing Chinese text

sofia-ml

A fork of the sofia ml machine learning program

som-demo

self-organizing maps

spark-adaboost

Implementation of the AdaBoost Algorithm using Spark

spark-ext

Spark Extension : ML transformers, SQL aggregations, etc that are missing in Apache Spark

spark-perf

Performance tests for Spark

spark_multiboost

An implementation of the multi-class/multi-label classifier, of which the training is carried out using AdaBoost.MH on Apache Spark.

sparkboost

A distributed implementation of AdaBoost.MH and MP-Boost using Apache Spark

sparkrecommendationapp

Spark Recommendation App

sparkstreaminghbaseexample

Spark Streaming HBase Example

sparse-coding

Parallel (asynchronous) sparse coding implementation for obtaining sparse overcomplete word vectors

sparselsh

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

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

speechprocessformachinelearning

用于机器学习的语音特征提取，包含FBank和MFCC等，原理讲解和step by step的实现