Search Results for "artificial"
Sort By:
Showing 7 open source projects for "artificial"
View related business solutions-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
XR3Capture
Take screen shots of your computer!
Comments: Capture your computer screen a lot easier with this app. System Requirements: Java 1.8.0_45++ required. GitHub (https://github.com/goxr3plus/XR3Capture) -
2
An IDE for people interested in Machine Vision/Image Processing. Written in Java, using JAI. It allows users to view image data and also provides a drag and drop environment that users can create/execute graphs of JAI operators.
-
3
-
4
JAVA based tool for easy and realtime monitoring (RTM) of data streams or groups of data streams. This tool makes it easy to monitor inherent distributed or multi-threaded applications like e.g. agent systems, financial data, logistics, RFID Systems
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
darknocK detects edges in images. It is using Artificial Neural Networks to enchance the results of standard algorithms.
-
6
Fingerprint Imaging Software -- fingerprint pattern classification, minutae detection, Wavelet Scalar Quantization(wsq) compression, ANSI/NIST-ITL 1-2000 reference implementation, baseline and lossless jpeg, image utilities, math and MLP neural net libs
-
7
Venn diagrams are an interesting method for rendering triadic relations on a two dimensional drawing surface. Certain marks (or annotations) indicate the existence of variables or constants in the distinguishable regions.
- Previous
- You're on page 1
- Next
