Search Results for "parallel"
Sort By:
Showing 5 open source projects for "parallel"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Automate contact and company data extractionGenerate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
-
1
detectproj
Automated detection of the unknown early map projection
New scientific software supporting the automated detection of the early map projection and its parameters. Useful for studying and analysis of different kinds of maps with the lack of information about the map projection. The analysis is based on the minimization of residuals between control points on the early and current reference maps. Designed for cartographers as well as for enthusiasts. Available free of charge. The awareness of the map projection is primarily important... -
2
ThéMA libs
Commons and utils Java classes used in ThéMA projects
This project contains 7 Java libraries developped in ThéMA laboratory : - common - data - parallel - drawshape - graph - network - msca -
3
EPSILON is a powerful Open Source wavelet image compressor. The project is aimed on parallel and robust image processing.
-
4
pRPL is a general-purpose parallel Raster Processing C++ programming Library. It enables the implementation of parallel raster-based algorithms without requiring a deep understanding of parallel computing, and greatly reduces the development complexity.
-
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
-
5
R package kOO
implementing k-spatial entropy methodology
The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO...
- Previous
- You're on page 1
- Next
