Search Results for "foo_input_sacd.fb2k-component"

...So I decided to write a super small and hackable inference library specifically focused on minimizing memory consumption: OnnxStream. OnnxStream is based on the idea of decoupling the inference engine from the component responsible for providing the model weights, which is a class derived from WeightsProvider. A WeightsProvider specialization can implement any type of loading, caching, and prefetching of the model parameters.

This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events...

...The design goals of DBLX are to produce a very fast database which can be used with standard ANSI sql. DBLX source code is available in C# and Java. DBLX includes the server component, a command-line client, as well as client APIs. DBLX is well-documented so that you can just get the database, drop it on to your favorite system and start using it immediately. Go to the Discussion section to read the latest on DBLX!

...Included with the Lazarus is sUpersCalable package, and you are recommended to use components from that package when you intend for your app to run on Ubuntu Touch via Xmir, or on KDE Plasma Mobile via XWayland. For more details on sUpersCalable see: https://uc-component-suite.sourceforge.io The installer is available both as source code for compiling yourself and as a pre-compiled binary for ARM Linux. Lazarus can even be installed on headless systems. It can then be used over SSH with X forwarding.