Control Flow

A framework to designe Reinforcement Learning (RL) environments for Active Flow Control (AFC), as well as a playground to train Deep Reinforcement Learning (DRL) algorithms for AFC applications.

PaddleCFD is a deep learning toolkit for surrogate modeling, equation discovery, shape optimization and flow-control strategy discovery in the field of fluid mechanics.

For interfacing with Brooks Instrument Mass Flow Controllers, Meters, and Pressure Controllers with S-Protocol over RS-485.

Tool to visualize object code as control flow graph

Create C call graphs from multiple source files using Cflow, producing linked PDF.

Educational phrase-structure metaphor for structured control flow: supplementary materials

A tiny Python library to create HTML templates without parsing and using native control flow

Real-time execution and remote monitoring and tuning of BDSim Block-Diagrams for modelling and control of Dynamical Systems

A simple flow controller for Django

Control the flow and settings of your Pyblish plugins with config files

DAG based data-flow and control-flow representation for meta programming

(placeholder) Prototype powerups for control flow statements in python.

A UDP file transfer protocol providing reliability, flow control and congestion control.

Create flowcharts to control LLMs

Scientific modeling of linearized optics, electronics, mechanics, and signal flow in the frequency domain

https://github.com/Haoke98/FlowPilot/README.md

Software for controlling the Open Flow-through sampling device.

HTTP streaming with accurate flow control

Simple library with flow in choices values for Django

An easy-to-use library for implementing and visualizing a control flow graph in python.

Python API for acquisition and control of Alicat mass flow meters and controllers.

A library for control flow graph analysis of RISC-V assembly

A simple library to create a json_rpc interface around classes *without* mandating protocol or controlling flow.

Flow control and backpressure for event-driven applications.

A net flow pilot in order to handle some proxy configuration automatically.

https://github.com/Haoke98/FlowPilot/README.md

BotsOnRails makes it easy to write LLM-controlled programs without outsourcing all of the logic and decisions to stochastic models. It facilitates the seamless integration of function-based nodes into an execution tree, enabling conditional and sequential task execution tailored to complex, resumable processing flows.