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STYLIANOS IORDANIS's Projects

seagull icon seagull

A Python Library for Conway's Game of Life

seai icon seai

CMU 17-445/645: Software Engineering for AI-Enabled Systems (SE4AI)

seaibib icon seaibib

Software Engineering for AI/ML -- An Annotated Bibliography

seal icon seal

Microsoft SEAL is an easy-to-use and powerful homomorphic encryption library.

seal-ci icon seal-ci

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

sealevel icon sealevel

A parallel runtime for layer 1 blockchains

seals icon seals

Tools for schema evolution and language-integrated schemata

search icon search

A web application to search the impact index

searchkick icon searchkick

Intelligent search made easy with Rails and Elasticsearch

seasonal icon seasonal

Robustly estimate trend and periodicity in a timeseries.

seastar icon seastar

High performance server-side application framework

seaweedfs icon seaweedfs

SeaweedFS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files! to serve the files fast! SeaweedFS implements an object store with O(1) disk seek and an optional Filer with POSIX interface, supporting S3 API, Rack-Aware Erasure Coding for warm storage, FUSE mount, Hadoop compatible, WebDAV.

sec-edgar icon sec-edgar

Download all companies periodic reports, filings and forms from EDGAR database.

sec-tool-list icon sec-tool-list

More than 21K security related open source tools, sorted by star count. Both in markdown and json format.

secd icon secd

A simple implementation of the SECD abstract machine (https://en.wikipedia.org/wiki/SECD_machine)

secd-1 icon secd-1

SECD microprocessor reimplementation in VHDL

seclists icon seclists

SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

sectorsearch icon sectorsearch

Somewhat intelligent solution to O(N^2) - "Given lots of objects in an airspace, how many are too close to each other?"

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