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STYLIANOS IORDANIS's Projects

sumpy icon sumpy

Symbolic code generators for multipole and local expansions and translations

sumup.jl icon sumup.jl

Automatic multi-documents, multi-topics summarization based on topic extraction

sundials.jl icon sundials.jl

Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA).

sundialsbuilder icon sundialsbuilder

Binary library builder for Sundials for the SciML scientific machine learning open source software organization

suns-cmd icon suns-cmd

Command line client for the Suns search engine

suod icon suod

An Acceleration System for Large-scale Outlier Detection (Anomaly Detection)

sup icon sup

Composable, purely functional healthchecks in Scala.

supair icon supair

Implementation of Sum-Product Attend-Infer-Repeat

super-gradients icon super-gradients

Easily train or fine-tune SOTA computer vision models with one open source training library

super-rentals icon super-rentals

This is an application where property owners may list places for rent, and renters will be able to find places to stay.

super-resolution icon super-resolution

Tensorflow 2.0 based implementation of EDSR, WDSR and SRGAN for single image super-resolution

superimport icon superimport

Simple package to lookup missing packages and autoinstall them.

superlu icon superlu

Supernodal sparse direct solver. https://portal.nersc.gov/project/sparse/superlu/

superset icon superset

Apache Superset is a Data Visualization and Data Exploration Platform

superstruct icon superstruct

A simple and composable way to validate data in JavaScript (and TypeScript).

supersuit icon supersuit

Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments

supervised-machine-learning icon supervised-machine-learning

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.

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