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Showing 13 open source projects for "question"
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Make It heavy
A Python framework that emulates Grok Heavy functionality
Make It heavy is a Python framework for producing deeper AI analysis through multi-agent orchestration. It is designed to emulate the style of Grok Heavy by splitting a user query into several specialized research angles. The system runs four agents in parallel so each one can explore the problem from a different perspective. It then combines their outputs into one unified answer through an intelligent synthesis step. The framework uses OpenRouter for model access and can also run in... -
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AIOHTTP
Asynchronous HTTP client/server framework for asyncio and Python
...You often want to send some sort of data in the URL’s query string. If you were constructing the URL by hand, this data would be given as key/value pairs in the URL after a question mark, e.g. httpbin.org/get?key=val. Requests allows you to provide these arguments as a dict, using the params keyword argument. aiohttp internally performs URL canonicalization before sending request. -
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Better Stack JavaScript client
Better Stack JavaScript client
Logtail is now part of Better Stack. Better Uptime and Logtail have been rebranded as Uptime and Logs on the Better Stack platform. Our mission is to help developers in building a better internet. And we believe that with the new fully integrated Better Stack platform, we’re simplifying the experience for the developers leveraging Better Stack even further. Formerly Logtail, lets you visualize your entire stack, turn your logs into structured data, and query everything like a single database... -
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goldmark
A markdown parser written in Go. Easy to extend, standard, compliant
A markdown parser is written in Go. Easy to extend, standard(CommonMark) compliant, well structured.golang-commonmark may be a good choice, but it seems to be a copy of markdown-it. blackfriday.v2 is a fast and widely-used implementation, but is not CommonMark-compliant and cannot be extended from outside of the package, since its AST uses structs instead of interfaces. Furthermore, its behavior differs from other implementations in some cases, especially regarding lists: Deep nested lists... -
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5
Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do.... -
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Misago
Misago is fully featured modern forum application
Misago aims to be a complete, featured and modern forum solution that has no fear to say 'NO' to common and outdated opinions about how forum software should be made and what it should do. Your users may register accounts, set avatars, change options and edit their profiles. They have the option to reset forgotten passwords. Site admins may require users to confirm validity of their e-mail addresses via e-mail sent activation link, or limit user account activation to administrator action.... -
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LangChain Apps on Production with Jina
Langchain Apps on Production with Jina & FastAPI
Jina is an open-source framework for building scalable multi-modal AI apps on Production. LangChain is another open-source framework for building applications powered by LLMs. long-chain-serve helps you deploy your LangChain apps on Jina AI Cloud in a matter of seconds. You can benefit from the scalability and serverless architecture of the cloud without sacrificing the ease and convenience of local development. And if you prefer, you can also deploy your LangChain apps on your own... -
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codeforces-go
Solutions to Codeforces by Go
...Basic introduction to the algorithm (core idea, complexity, etc.) Reference links or book chapters (good material) Template code (can contain some comments, usage instructions) Template supplements (extra codes in common question types, modeling tips, etc.) Related topic links (template questions, classic questions, thinking conversion questions, etc.) The main goal of this stage is to improve the ability to observe problems. Doing construction questions can train this point in a targeted manner. Choose the structural questions (tag: constructive algorithms) whose difficulty ranges from your own rating to rating+200, and do the questions in descending order according to the number of people who have passed the questions. -
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SFBusinessData
Components for Delphi for the reusable organization of data logic
SFBusinessData is a set of components for Embarcadero Delphi that answers the question of reusable organization of business or data logic in Delphi applications. With SFBusinessData, business logic is stored in specialized data classes that ideally correspond to the structure of the data model. The basis of these classes is the corresponding base class of SFBusinessData, which is ultimately a dataset. The derived, own classes can be instantiated after registration (also via the designer) and used like a dataset. ... -
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10
Caffe2
Caffe2 is a lightweight, modular, and scalable deep learning framework
...You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform libraries. Modularity and being designed for both scale and mobile deployments are the high-level answers to the first question. In many ways Caffe2 is an un-framework because it is so flexible and modular. The original Caffe framework was useful for large-scale product use cases, especially with its unparalleled performance and well tested C++ codebase. Caffe has some design choices that are inherited from its original use case: conventional CNN applications. -
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OpenEphyra is an open framework for question answering (QA). It retrieves answers to natural language questions from the Web and other sources. Visit http://www.ephyra.info/ for more details and information on joining this open research initiative.
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A SOA-based framework for multilingual question answering (QA) systems that answer natural language questions with the help of a domain ontology and structured answer data sources from freely specifiable domains.
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13
This aims to be an open source ASP.NET survey framework. With user survey creation and question/answer management.
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