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Access Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
NOTE: Use of this codebase is NOT RECOMMENDED.
This project has been migrated to github at http://jaerproject.net (or https://github.com/SensorsINI/jaer for the Java code).
Commits have been disabled for the subversion sourceforge repository and new development is being done on the github repository.
Java tools for Address-Event Representation (AER) neuromorphic processing. Uses USB hardware.
See wiki at https://sourceforge.net/p/jaer/wiki/
SwisTrack 4 is a powerful software for tracking robots, humans, animals and objects using a camera or a recorded video as input source. It contains interfaces for USB, FireWire and GigE cameras, as well as AVI files.
MintMCScanX is a lightweight linux virtual OS based on Mint OS xfce Rebecca. MinMCScanX comes with inbuilt installed MCScanX with all its dependencies and examples. It also harbors apache to enable developers evolve there imagination for creating custom pipelines and servers based on MCScanX.
You just have to add the image file in Virtualbox and you are ready to go.
Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.
Built 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.
Used to record and analyze some behavioural experiments in neuroscience (using usb webcam). it was developed in collaboration with neuropharmacology lab at Faculty of Medicine, Ain Shams University. it can use(JMF,OpenCV,JMyron & AGCamLib) for webcam
program for analyzing and manipulating DNA microarray data
CNV calling software may produce false-positive calls due to imperfect source material. Direct inspection of the microarray data with the noise-free-cnv software helps to appreciate the quality of the data and to identify artificial calls.
With noise-free-cnv it is possible to visualize individual datasets, to compare different datasets and to perform simple transformations. The visualization and the suppression of genomic waves, the comparison of two datasets by subtraction and the...