Search Results for "graphs"

...Under the hood it leans on web-friendly runtimes (e.g., WebGPU/WebGL/WebNN or TensorFlow.js backends) to execute pipelines locally, which is great for demos, teaching, and privacy-sensitive prototypes. The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. For educators and product teams alike, Visual Blocks reduces the distance from idea to interactive proof-of-concept by turning ML diagrams.

...Thanks to our define-by-run API, the code written with Optuna enjoys high modularity, and the user of Optuna can dynamically construct the search spaces for the hyperparameters. Optuna Dashboard is a real-time web dashboard for Optuna. You can check the optimization history, hyperparameter importances, etc. in graphs and tables. You don't need to create a Python script to call Optuna's visualization functions. Automated search for optimal hyperparameters using Python conditionals, loops, and syntax. Efficiently search large spaces and prune unpromising trials for faster results. Parallelize hyperparameter searches over multiple threads or processes without modifying code.

...Since RPC remains a foundational building block in microservices, server architectures, and high-performance systems, this codebase helps you trace how requests are framed, routed, serialized, and executed across nodes. Because it integrates key pieces of the ecosystem (Netty event loops, Kyro object graphs, Zookeeper coordination), you also gain exposure to that stack.

Apache Flink is a distributed engine for stateful computations over data streams and batches, designed for low-latency processing at scale. Its core runtime executes dataflow graphs with fine-grained backpressure and checkpointing, allowing applications to recover consistently from failures. Flink’s event-time model and watermarks enable accurate out-of-order processing, windowing, and complex time semantics that typical real-time systems struggle with. Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. ...

LuaRadio is a lightweight, embeddable flow graph signal processing framework for software-defined radio. It provides a suite of source, sink, and processing blocks, with a simple API for defining flow graphs, running flow graphs, creating blocks, and creating data types. LuaRadio is built on LuaJIT, has a small binary footprint of under 750 KB (including LuaJIT), has no external hard dependencies, and is MIT-licensed. LuaRadio can be used to rapidly prototype software radios, modulation/demodulation utilities, and signal processing experiments. ...

Gin Config is a lightweight and flexible configuration framework for Python built around dependency injection. It enables developers to manage complex parameter hierarchies—particularly common in machine learning experiments—without relying on boilerplate configuration classes or protos. By decorating functions and classes with @gin.configurable, Gin allows their parameters to be overridden using simple configuration files (.gin) or command-line bindings. Users can define default parameter...

BinNavi is a binary analysis IDE - an environment that allows users to inspect, navigate, edit, and annotate control-flow-graphs of disassembled code, do the same for the callgraph of the executable, collect and combine execution traces, and generally keep track of analysis results among a group of analysts. BinNavi uses a commercial third-party graph visualisation library (yFiles) for displaying and laying out graphs. This library is immensely powerful, and not easily replaceable. ...

Daabli is a simple cross-platform serialization framework for C++.

NG4J - 'Named Graphs API for Jena' is an extension to the Jena Semantic Web framework for parsing, manipulating and serializing sets of Named Graphs. For details about Named Graphs see http://www.w3.org/2004/03/trix/

Are Plain Old Java Objects (POJOs) to complex? The aim of this framework is, to convert JavaBeans (complex Java-Object graphs) in a simplified representation (JSON, XML, CSV or other object structures) or handle and control access to JavaBean properties.

iScreen is a Java Object Validation Framework to be used to validate Java objects (i.e. JavaBeans and POJOs) and object graphs. Configuration is XML, and supports reuse, conditionals, dynamic error messages, internationalization, and much more.

...While your application is computing and logging results to a CSV file using the LiveGraph Writer API, the plotter lets you visualise and monitor the results live - by instantly plotting charts and graphs of the data.

sdf4j is a Java framework to manipulate Static Dataflow graphs (SDF).

Java objects that share parts of immutable graphs. Reused subgraphs have directly or indirectly recursive Elements. Selected components get replaced by new counterparts in Context of Mirrors - translation tables. Deep copies are not involved.

Digital graph 1.3 is an advanced JAVA SWING component for modelling, displaying, saving and loading graphs(using XML and XMLSchema). It is fully documented and requires jdk 1.5.x.Version 1.3 adds 9 bug fixs, 3 rengineering and 4 new features.

A platform independent and ANSI-C compliant framework simplifying the implementation of event driven designs on embedded systems. Unlike other similar frameworks StrawLib uses the simpler metaphor of flow graphs rather than that of finite state machines.