Search Results for "learning classifier system"

Halfrost-Field is a large public “knowledge and blog repository” maintained by a developer who documents a wide variety of computer-science, programming, and machine-learning content — from classic algorithms, ML fundamentals, to system design and broader engineering topics. The repository is structured like a personal technical blog/book: it contains “contents” directories with Markdown-based notes, tutorials and guides. For example, there is a full machine learning course outline (regression, neural networks, SVMs, unsupervised learning, anomaly detection, large-scale ML, even application examples like OCR), that reads like a self-study curriculum. ...

SuperEdge is an open-source container management system for edge computing to manage compute resources and container applications in multiple edge regions. These resources and applications, in the current approach, are managed as one single Kubernetes cluster. A native Kubernetes cluster can be easily converted to a SuperEdge cluster. SuperEdge extends the powerful container orchestration and scheduling capabilities of Kubernetes to the edge.

Skydive is an open source real-time network topology and protocols analyzer providing a comprehensive way of understanding what is happening in your network infrastructure. Captures network topology, interface, bridge, and namespace attributes and keeps the history of all the modifications. Distributed probe, L2-L4 classifier, GRE, VXLAN, GENEVE, MPLS/GRE, MPLS/UDP tunneling support. Ability to follow a flow along a path in the topology. Support for external SDN Controllers or...

...Its documentation highlights single-machine million-connection goals, making performance and concurrency central to the design. gowebsocket is useful for developers studying large-scale WebSocket systems, chat backends, connection management, and Go network programming. It is best treated as a technical reference and learning project for distributed real-time architecture.