Search Results for "model-builder"

The Zephyr Project is a new generation real-time operating system (RTOS) that supports multiple hardware architectures. It is based on a small-footprint kernel specially designed for use on resource-constrained and embedded systems. The Zephyr OS can be used for a wide range of applications: from simple embedded environmental sensors and LED wearables to sophisticated embedded controllers, smart watches, and IoT wireless applications.

...Ability to capture the output of SQL queries as Pandas dataframes to interact with other Python libraries (e.g. matplotlib). Send local files or dataframes to a remote cluster (e.g. sending pretrained local ML model straight to the Spark cluster) Authenticate to Livy via Basic Access authentication or via Kerberos.

AO-RTOS is a pure object-oriented small footprint real-time operating system for embedded devices. The project is using Active Object (or Actor) concurrency model and finite state machine (FSM) design template as implementation base.

QP real-time event frameworks (RTEFs) provide lightweight, modern, event-driven architecture based on asynchronous Active Objects (Actors) and Hierarchical State Machines. The matching QM model-based design tool and other host-based tools complement the QP frameworks by supporting graphical modeling, code generation, software tracing, and unit testing for event-driven embedded software. Visit https://www.state-machine.com for more information. The QP RTEFs can run on bare-metal microcontrollers, replacing a traditional RTOS. ...

...Mark3 was designed from the ground-up using disciplined object-oriented design principles - and unlike the vast majority of free or commercial RTOS' is written in C++, with bindings for C-language compatibility. The carefully designed object model drastically reduces the overall size and complexity of the source code, leading to enhanced code reuse, stability, and modularity. It also makes the source easier to understand - any experienced C/C++ developer should be able to understand the relationship between objects in the system, as well as use and extend them to fit a given application.

The blocksparse repository provides efficient GPU kernels (TensorFlow custom ops) for block-sparse matrix multiplication and convolution operations. The idea is to exploit block-level sparsity — i.e. treat matrices or weight tensors as composed of blocks, many of which may be zero or unused — to save compute and memory when sparsity patterns are structured. This is particularly useful in models like Sparse Transformers, where attention matrices or intermediate layers may adopt block-sparse...

...This only CPU then can access to this instance of FileSystem. The scheduler is based on the cooperative threading model, therefore due to this design, TORO can migrate threads between CPUs and send messages between threads without using any lock instruction. TORO is well suited for integrated system to run at high pace application servers like web servers.

Pistrix (lat. Shark) is a Open Source project of Operation System, written on Assembly and C Languages. The OS model is microkernel, because the basic task of the Pistrix is Speed and Small Size.