5 रिपॉजिटरी
Awesome GitHub RepositoriesSequence Pipelines
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.
Awesome Sequence Pipelines GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- nikivdev/flow
nikivdev/flow
21,136GitHub पर देखेंFlow 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.
Rustagentsautonomymoonbit - apache/openwhisk
apache/openwhisk
6,779GitHub पर देखेंOpenWhisk 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.
Scala - nyandwi/machine_learning_complete
Nyandwi/machine_learning_complete
4,983GitHub पर देखेंThis 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.
Jupyter Notebookcomputer-visiondata-analysisdata-science - sodiray/radash
sodiray/radash
4,845GitHub पर देखेंRadash, डेटा रूपांतरण, सत्यापन और वर्कफ़्लो प्रबंधन के लिए डिज़ाइन की गई एक TypeScript कार्यात्मक उपयोगिता लाइब्रेरी है। यह एरे, ऑब्जेक्ट्स और स्ट्रिंग्स में हेरफेर करने के लिए टाइप्ड हेल्पर फंक्शन्स का एक संग्रह प्रदान करती है। इस प्रोजेक्ट में प्रॉमिस, रिट्रीज़ और कॉनकरेंसी लिमिट्स को प्रबंधित करने के लिए एक एसिंक्रोनस वर्कफ़्लो टूलकिट है, साथ ही प्रिमिटिव प्रकारों, ऑब्जेक्ट्स और प्रॉमिस को सत्यापित करने के लिए बूलियन वैलिडेटर्स का एक सुइट है। यह फंक्शन कंपोज़िशन, पार्शियल एप्लिकेशन और एरर-फर्स्ट रिस्पॉन्स पैटर्न जैसे कार्यात्मक प्रोग्रामिंग पैटर्न को भी लागू करता है। लाइब्रेरी डीप क्लोनिंग और मर्जिंग के साथ ऑब्जेक्ट स्टेट प्रबंधन, जटिल एरे हेरफेर और स्ट्रिंग फॉर्मेटिंग सहित क्षमताओं की एक विस्तृत सतह को कवर करती है। यह अतिरिक्त रूप से निष्पादन ऑप्टिमाइज़ेशन के लिए टूल्स प्रदान करती है, जैसे कि रेट लिमिटिंग और रिजल्ट कैशिंग।
Provides a utility to chain multiple transformation functions where the output of one serves as the input to the next.
TypeScriptfunctionshacktoberfestjavascript - vkhorikov/csharpfunctionalextensions
vkhorikov/CSharpFunctionalExtensions
2,777GitHub पर देखेंCSharpFunctionalExtensions 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.
C#csharpentityfunctional-programming
