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sparrow

Sparrow scheduling platform (U.C. Berkeley).

sparser

Sparser: Raw Filtering for Faster Analytics over Raw Data

spatialspark

Big Spatial Data Processing using Spark

spazure

Automation toolset for Azure DevOps written on Sparrow

specter-koans

split-annotations

Source code for the split annotations project.

spork

Mirror of Apache Pig

springer_free_books

Python script to download all Springer books released for free during the 2020 COVID-19 quarantine

sprint

Sprint Transformations for RegEx queries

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_stv

Single Transferable Vote as a single SQL query.

sqlitebiter

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

sqlmancer

Conjure SQL from GraphQL queries 🧙🔮✨

sse-popcount

SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html

sse4-strstr

SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification

stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

standard-aliases

Attempt at defining a standard extension to Linux in form of Bash functions

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

stargz-snapshotter

Fast docker image distribution plugin for containerd, based on CRFS/stargz

stat453-deep-learning-ss20

STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)

stat479-machine-learning-fs19

Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stdsimd

Experiments with adding SIMD support to Rust's standard library.

strangeloop2015

strangeloop2016

Strange Loop 2016

strangeloop2017

Strange Loop 2017

strangeloop2018

Strange Loop 2018 resources