Search Results for "dot" - Page 5
Sort By:
Showing 108 open source projects for "dot"
View related business solutions-
AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
1
xBaseScript (PP.exe) is an open source enhanced Clipper compatible Pre-Processor, DOT Prompt Environment, and Clipper/xBase Script Engine.
-
2
Projects written in C# for Microsoft's .NET platform devoted to XML technologies. *** This project is now defunct. Please see the NDoc (http://ndoc.sf.net/) project for the latest version of DOC.NET. ***
-
3
This module provides a Perl interface to layout and image generation of directed and undirected graphs in a variety of formats (PostScript, PNG, etc.) using the "dot" and "neato" programs from the GraphViz project (http://www.graphviz.org/).
-
4
This tool converts the output of gprof to a format processible by the DOT tool, to generate a nice graphical function call graph.
-
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
-
5
Dot Net 2.0 Kml 2.2 Library
Dot Net 2.0 Kml 2.2 Library
Dot Net 2.0 Kml 2.2 Library. -
6
Antidoto is a java technology mashup providing building blocks for modular architectures. Antídoto is the portuguese word for antidote. An antidote is a substance which can counteract a form of poisoning.
-
7
-
8
A standalone, STL interface to the Torch library's Support Vector Machine (SVM). It supports single or multiclass (one vs. all) classification using dot product, polynomial, Gaussian and sigmoid kernels.
