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sparklens

Qubole Sparklens tool for performance tuning Apache Spark

splicer

Splicer - adds relation querying (SQL) to any python project

sptag

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

sql-metadata

Uses tokenized query returned by python-sqlparse and generates query metadata

sqlancer

Detecting Logic Bugs in DBMS

sqlean

The ultimate set of SQLite extensions

sqlglot

Python SQL Parser and Transpiler

sqloxide

Python bindings for sqlparser-rs

sqlparse

A non-validating SQL parser module for Python

sqlparse-1

SQL parser and converter

storm-twitter-word-count

This is a sample project demonstrating real-time computation storm framework integration with twitter.

strucembedding-graphlibrary

The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.

synthia

📈 🐍 Multidimensional synthetic data generation with Copula and fPCA models in Python

systemds

Apache SystemDS - A versatile system for the end-to-end data science lifecycle

systemds-amls-project-data

tagging

A benchmark for semantic tagging

tinydb

TinyDB is a lightweight document oriented database optimized for your happiness :)

transmogrifai

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

tutorials

Tutorials on Lightweight Modular Staging

tweet2vec

Twitter hashtag prediction

usr2vec

Learning User Representations

uthash

C macros for hash tables and more

vearch

A distributed system for embedding-based retrieval

vectorhub

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

vespa

The open big data serving engine. https://vespa.ai

vizsql

Scala and SQL happy together.

w2v_reco_hyperparameters_matter

Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. Royo-Letelier. The paper will be published on the 12th ACM Conference on Recommender Systems, Vancouver, Canada, 2nd-7th October 2018

word2vec

Automatically exported from code.google.com/p/word2vec

word2vec-1

Python interface to Google word2vec

word_embedding_refine