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osqa

OSQA is a free, entry-level Q&A system from the makers of AnswerHub, the market-leading professional Q&A platform. Looking for Enterprise functionality? Checkout http://answerhub.com

osquery

SQL powered operating system instrumentation, monitoring, and analytics.

ostagram

p-emb

Exponential family embeddings (Poisson or Bernoulli) for items, for shopping data or recommendation systems

p13n2.0

Version 2 of the RichRelevance p13n framework

p2v-map

Code for P2V-MAP, a machine learning approach for mapping market structures

paat

pace2017

A step-by-step Keras implementation of PACE (Preference And Context Embedding) described in our KDD 2017 paper.

paddle

PArallel Distributed Deep LEarning

pagerank

The implementation of the algorithm PageRank

pagmo2

A C++ / Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.

pal-a-tool-for-pre-annotation-and-active-learning

PAL: A tool for Pre-annotation and Active Learning

paldb

An embeddable write-once key-value store written in Java

palmtree

An implementation of Intel's concurrent B+Tree (Palm Tree)

palo

Palo，the MPP data warehouse

panama-layout-prototype

Layout prototype for project Panama

pandas-in-action

Complete source code (datasets and Jupyter Notebooks) for Pandas In Action

panoramix

Panoramix is a data exploration platform designed to be visual, intuitive and interactive

paper-note

A collection of my notes and thinking for read papers.

papers

papiseval

Evaluate Predictive APIs

para

The backend for busy developers.

paracel

Distributed optimization framework with parameter server

paragraph2vec

Paragraph Vector Implementation

parallel-gbdt

Parallel Gradient Boosting Decision Trees

parallel_cf

multithreaded item-based collaborative filtering in scala

parallel_ml_tutorial

Tutorial on scikit-learn and IPython for parallel machine learning

parallelized-expectation-maximization-algorithm

A parallelized version of Expectation Maximization algorithm

parallelizing_linear_rnns

parallelsorts