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parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

parquet-format

Mirror of Apache Parquet

parquet-mr

As we have moved to Apache, please open your pull requests on: https://github.com/apache/parquet-mr

pentaho-kafka-producer

Apache Kafka producer step plug-in for Pentaho Kettle.

pentaho-kettle

Pentaho Data Integration ( ETL ) a.k.a Kettle

pilosa

Pilosa is an open source, distributed bitmap index that dramatically accelerates queries across multiple, massive data sets.

presto

Distributed SQL query engine for big data

presto-1

Official home of Presto, the distributed SQL query engine for big data

probabilityhomework

**科学院大学（计算所）《概率方法与随机图》课程作业与教材

projbraininference

Analysis of how the Human brain incorporates prior knowledge about environment statistics to improve inference

protobuf

Protocol Buffers - Google's data interchange format

psl

The PSL software from the University of Maryland and the University of California Santa Cruz

pyethapp

pyspark-tutorial

PySpark-Tutorial provides basic algorithms using PySpark

python-cheat-sheet

Python Cheat Sheet NumPy, Matplotlib

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

release

Release infrastructure for Kubernetes and related components

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

scala

The Scala programming language

scalable-cassandra-deployment-on-kubernetes

In this code we provide a full roadmap the deployment of a multi-node scalable Cassandra cluster on Kubernetes. Cassandra understands that it is running within a cluster manager, and uses this cluster management infrastructure to help implement the application. Kubernetes concepts like Replication Controller, StatefulSets etc. are leveraged to deploy either non-persistent or persistent Cassandra clusters on Kubernetes cluster.

scikit-learn

scikit-learn: machine learning in Python

seldon-core

Machine Learning Deployment for Kubernetes

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

serving

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

simplifai

Free automated deep learning for spreadsheets

skater

Python Library for Model Interpretation

sme

snappydata

SnappyData - The Spark Database. Stream, Transact, Analyze, Predict in one cluster