5 个仓库
Chaining functions into sequential pipelines where the output of one becomes the input of the next.
Distinct from Function Composition: Focuses on the orchestration of sequential execution flows rather than atomic function merging.
Explore 5 awesome GitHub repositories matching software engineering & architecture · Sequence Pipelines. Refine with filters or upvote what's useful.
Flow is an orchestration framework for designing and executing complex workflows using autonomous agents powered by large language models. It serves as a toolkit for constructing agentic pipelines and a runtime for managing agent lifecycles, session states, and tool execution. The project is distinguished by its support for hierarchical swarm management, where director agents decompose large projects into smaller tasks for specialized worker agents. It enables multiple coordination patterns, including sequential linear pipelines and concurrent execution where agents analyze tasks from differe
Implements sequential pipelines where the output of one agent is passed as the input to the next.
OpenWhisk is a serverless cloud platform designed for deploying and executing stateless functions in response to API calls or events. It serves as a complete serverless stack, providing an API gateway for functions, a function-as-a-service runtime manager, and an event-driven workflow engine. The platform distinguishes itself through a polyglot execution model that supports multiple language runtimes and allows for the creation of custom runtimes using Docker containers. It enables complex logic through function orchestration and composition, allowing multiple functions to be chained into seq
Enables the chaining of multiple serverless functions into sequential pipelines for complex logic orchestration.
This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi
Uses sequence pipelines to encapsulate multiple data transformation steps for consistent training and testing.
Radash 是一个 TypeScript 函数式实用工具库,专为数据转换、验证和工作流管理而设计。它提供了一系列类型化的辅助函数来操作数组、对象和字符串。 该项目具有用于管理 Promise、重试和并发限制的异步工作流工具包,以及一套用于验证原始类型、对象和 Promise 的布尔验证器。它还实现了函数式编程模式,如函数组合、偏函数应用和错误优先响应模式。 该库涵盖了广泛的功能,包括具有深克隆和合并的对象状态管理、复杂的数组操作和字符串格式化。它还提供了用于执行优化的工具,如速率限制和结果缓存。
Provides a utility to chain multiple transformation functions where the output of one serves as the input to the next.
CSharpFunctionalExtensions is a functional programming library for C# that provides a framework of monadic containers, pipeline orchestration tools, and immutable domain object patterns. It implements the result pattern to handle operation success and failure as values, reducing the reliance on exceptions for control flow. The library enables railway-oriented programming by chaining multiple operations into sequences that execute only upon the success of previous steps. It provides specialized wrappers for optional and result types to minimize null checks and nested conditional logic, alongsi
Implements a railway-oriented pipeline that chains operations and executes only upon the success of previous steps.