s-r-k

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

db-readings

Readings in Databases

ibis

the portable Python dataframe library

koalas

Koalas: pandas API on Apache Spark

bottery

dafny

Dafny is a verification-aware programming language

rasa_core

Rasa Core is now part of the Rasa repo: An open source machine learning framework to automate text-and voice-based conversations

minimal

A Theme for GitHub Pages

gitbase

SQL interface to git repositories, written in Go. https://docs.sourced.tech/gitbase

magenta-js

Magenta.js: Music and Art Generation with Machine Learning in the browser

WikiSQL

A large annotated semantic parsing corpus for developing natural language interfaces.

indicnlp_catalog

A collaborative catalog of NLP resources for Indic languages

jvm-readings

JVM readings

yarpgen

Yet Another Random Program Generator

conf-boilerplate

The easiest way to create websites for conference/events

FeatureDetector

What features does your CPU and OS support?

pandas_cub

Learn how to build a data analysis library from scratch

cci

Common Compiler Infrastructure

Bot

Training resources around Microsoft Bot Framework

Dhalion

Self regulation and auto-tuning for distributed system

raw_etexts

SQL-ProcBench

SQL-ProcBench is an open benchmark for procedural workloads in RDBMSs.

dsb

The DSB benchmark is designed for evaluating both workloaddriven and traditional database systems on modern decision support workloads. DSB is adapted from the widely-used industrialstandard TPC-DS benchmark. It enhances the TPC-DS benchmark with complex data distribution and challenging yet semantically meaningful query templates. DSB also introduces configurable and dynamic workloads to assess the adaptability of database systems. Since workload-driven and traditional database systems have different performance dimensions, including the additional resources required for tuning and maintaining the systems, we provide guidelines on evaluation methodology and metrics to report.

sqlmlutils

Utility functions for easier usage of SQL Server Machine Learning Services

parsimony

a web-based development environment for constructing parsers by example (backend code)

vyakarana

A Paninian simulator

Conferences

raw_etexts_english

parsimony-frontend

a web-based development environment for constructing parsers by example (frontend code)