Search Results for "network topology"

...Comput. Phys.] PINN with hard constraints (hPINN): solving inverse design/topology optimization [SIAM J. Sci. Comput.] Residual-based adaptive sampling [SIAM Rev., arXiv] Gradient-enhanced PINN (gPINN) [Comput. Methods Appl. Mech. Eng.] PINN with multi-scale Fourier features [Comput. Methods Appl. Mech. Eng.]

...The project treats documentation as code, enabling version control, community contributions, and swift iteration alongside product releases. It also provides best practices around performance tuning, authentication choices, and network topology so organizations can run RustDesk confidently at scale.

Horde provides a distributed, fault-tolerant Registry and DynamicSupervisor for Elixir applications, letting you run and manage processes across clustered nodes as if they lived on a single machine. It relies on conflict-free replicated data types (CRDTs) to converge membership and process ownership without a central leader, so cluster topology can change freely as nodes join or leave. With Horde.Registry you register processes globally and look them up anywhere, while Horde.DynamicSupervisor starts and migrates children across nodes, rebalancing as capacity or health changes. Because everything runs under OTP supervision, failures are isolated and recoveries are automatic, even during network partitions or rolling deploys. ...

...Tutorials and visualization helpers make it easier to understand how network topology affects expressive power and computational cost.

...It exposes an API compatible with the common “RoundTripper” abstraction, enabling developers to route request/response traffic through NATS subjects rather than traditional HTTP connections. This pattern lets services running in distributed environments take advantage of NATS’ low latency and flexible topology while retaining familiar client semantics. It can be an effective bridge for teams migrating from synchronous REST calls to a message-driven fabric without rewriting every call site. Because the transport is swappable, it promotes clean separation between business logic and the underlying network. The result is an incremental pathway to evented architectures with the ergonomics of conventional request/response programming.

It's an object-oriented library written in C++ for creating arbitrary kind of neural networks. The user can use the classes provided to create neural network with arbitrary topology and mixed type of neurons. It's very easy add custom neurons.