Search Results for "answer"
Sort By:
Showing 617 open source projects for "answer"
View related business solutions-
Field Service+ for MS Dynamics 365 & SalesforceResco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
-
Field Sales+ for MS Dynamics 365 and SalesforceBring Dynamics 365 and Salesforce wherever you go with Resco’s solution. With powerful offline features and reliable data syncing, your team can access CRM data on mobile devices anytime, anywhere. This saves time, cuts errors, and speeds up customer visits.
-
1
Apache Answer
Free and open source Q&A platform software for all the teams.
Apache Answer is an open-source software project under incubation at the Apache Software Foundation (ASF). It empowers you to build a robust question-and-answer (Q&A) platform to thrive your community at ease. Apache Answer is capable for but not limited to: Community Forum: Open discussions and knowledge sharing within your online community. -
2
UnattendedWinstall
Personalized Unattended Answer Files that helps debloat Windows 10
UnattendedWinstall is a collection of Microsoft Unattend XML answer files designed for customized, unattended Windows installations. It automates OS deployment, debloating, and configuration changes (like disabling telemetry, removing default apps, registry tweaks) during initial setup. Designed to streamline clean installs of Windows 10/11 with preconfigured preferences and optimizations. -
3
LLM Council
LLM Council works together to answer your hardest questions
...After this peer-review process, a designated “Chairman” model synthesizes a final consolidated answer drawing on the strengths and insights of all participants. The interface looks like a familiar chat app but under the hood it implements this ensemble and consensus workflow to reduce bias and leverage diverse reasoning styles. -
4
Mathematics Dataset
This dataset code generates mathematical question and answer pairs
The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear logic and reproducibility. The dataset enables models to learn mathematical problem-solving through examples that involve both numeric and symbolic reasoning. ... -
Simplify Purchasing For Your BusinessSimplify every aspect of buying for your business in Order.co. From sourcing products to scaling purchasing across locations to automating your AP and approvals workstreams, Order.co is the platform of choice for growing businesses.
-
5
Kitty-Tools
Kitty-Tools is a Kahoot Cheating Client for all devices and interfaces
...It is built to run across a wide range of environments including desktop systems, web interfaces, and even embedded or microcontroller-based setups, emphasizing accessibility and ease of use. The project focuses on simplifying interaction with Kahoot sessions by offering tools that can automate participation, manipulate answer selection, and streamline gameplay workflows. Its architecture allows users to connect to live game sessions and perform actions programmatically, which can be useful for testing, demonstration, or experimental purposes. The software is designed with a lightweight approach so that it can operate efficiently across devices with varying capabilities. ... -
6
Pinot
Apache Pinot - A realtime distributed OLAP datastore
Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency. Pinot is designed to answer OLAP queries with low latency on immutable data and mutable data(Upsert Support) Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index, StarTree Index, Bloom Filter, Range Index, Text Search Index(Lucence/FST), Json Index, Geospatial Index. Near Realtime ingestion with Apache Kafka, Apache Pulsar, Kinesissupports JSON, Avro, ProtoBuf, Thrift formats. ... -
7
novathesis
A LaTeX template for academic monographs
A LaTeX template for thesis, dissertations and similar monograph-like documents. Just select the School, provide the cover info, your chapters with text and you're done. Includes dozens of options that answer the requests from the very large user's community (1000's users). -
8
Easy DataSet
A powerful tool for creating datasets for LLM fine-tuning
...It supports ingesting domain-specific documents in a wide range of formats — including PDF, Markdown, DOCX, EPUB, and plain text — and can intelligently segment, clean, and structure content into rich datasets tailored for downstream LLM training needs. The system includes automated question-generation capabilities, hierarchical label trees, and answer generation pipelines that use LLM APIs to produce coherent paired data with customizable templates. Beyond dataset creation, Easy-dataset also provides a built-in evaluation system with model testing and blind-test features, helping teams validate model performance using curated test sets. -
9
tiny11builder
Scripts to build a trimmed-down Windows 11 image
...My main goal is to use only Microsoft utilities like DISM, and no utilities from external sources. The only executable included is oscdimg.exe, which is provided in the Windows ADK and it is used to create bootable ISO images. Also included is an unattended answer file, which is used to bypass the Microsoft Account on OOBE and to deploy the image. -
Collect! is a highly configurable debt collection softwareThe flexible & scalable debt collection software built to automate your workflow. From startup to enterprise, we have the solution for you.
-
10
Edpuzzle Answers
A Javascript bookmarklet that can get the answers for Edpuzzle
Edpuzzle Answers is a JavaScript-based bookmarklet and script toolkit designed to interact with Edpuzzle assignments by automating video playback and extracting answer data from embedded questions. It operates directly within the browser, requiring no installation beyond saving the bookmarklet, and injects code into the active Edpuzzle page to modify its behavior in real time. The tool can retrieve answers for multiple-choice questions, automate responses, and adjust playback settings, effectively streamlining the completion of assignments. ... -
11
Numi
Beautiful calculator app for macOS
Numi is a handy calculator app for macOS. It allows you to describe tasks naturally and instantly get an answer. For example, $20 in euro - 5% discount or today + 2 weeks. -
12
PRIME
Scalable RL solution for advanced reasoning of language models
...The system introduces the concept of process reinforcement through implicit rewards, allowing models to receive feedback on intermediate reasoning steps instead of evaluating only the final answer. This approach helps models learn better reasoning strategies and encourages them to generate more reliable multi-step solutions to complex tasks. PRIME provides training pipelines, datasets, and experimental infrastructure that allow researchers to train models with reinforcement learning tailored for reasoning improvement. The framework also includes data preprocessing utilities and example datasets such as mathematical reasoning tasks that are well suited for process-based reward signals. -
13
Pillow
The friendly Python Imaging Library fork
If you've ever wondered or worried about the future of Python's Imaging Library, it's time to stop. Pillow is here to answer your concerns, and offer you more. Pillow is the friendly fork of the Python Imaging Library or PIL, a library that adds image processing capabilities to your Python interpreter. Why turn to Pillow? Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. ... -
14
PeterCat
A conversational Q&A agent configuration system
PeterCat is an open-source conversational agent framework designed to create automated question-and-answer assistants for GitHub repositories and technical projects. The system allows developers to build AI-powered bots that understand project documentation, GitHub issues, and other repository content in order to answer questions from users or contributors. By simply providing the repository name or URL, the platform can automatically collect relevant project information and construct a knowledge base that the agent uses to respond to inquiries. ... -
15
Http4s
A minimal, idiomatic Scala interface for HTTP
Http4s is a minimal, idiomatic Scala interface for HTTP services. Http4s is Scala's answer to Ruby's Rack, Python's WSGI, Haskell's WAI, and Java's Servlets. http4s servers and clients share an immutable model of requests and responses. Standard headers are modeled as semantic types, and entity codecs are done by typeclass. The pure functional side of Scala is favored to promote composability and easy reasoning about your code. -
16
Mongoose
Elegant mongodb object modeling for node.js
Mongoose is a MongoDB object modeling tool that was built to answer the need for better ways to model your application data. It's designed to work in an asynchronous environment, providing a simple, straightforward approach to object modeling that skips out on the tedious tasks of writing MongoDB validation, casting and business logic boilerplate. Mongoose offers an uncomplicated schema-based solution, and comes with nifty features like type casting, validation, query building, and business logic hooks right out of the box. ... -
17
DeepSearcher
Open Source Deep Research Alternative to Reason and Search
DeepSearcher is an open-source “deep research” style system that combines retrieval with evaluation and reasoning to answer complex questions using private or enterprise data. It is designed around the idea that high-quality answers require more than top-k retrieval, so it orchestrates multi-step search, evidence collection, and synthesis into a comprehensive response. The project integrates with vector databases (including Milvus and related options) so organizations can index internal documents and query them with semantic retrieval. ... -
18
Clippy
Clippy, now with some AI
...It supports models in the GGUF format, which allows it to run many publicly available open-source LLMs efficiently on consumer hardware. Users interact with the system through a simple animated assistant interface that can answer questions, generate text, and perform conversational tasks. The application includes one-click installation support for several popular models such as Meta’s Llama, Google’s Gemma, and other open models. -
19
Witr
witr exists to answer "Why is this running?"
witr (short for “Why is this running?”) is a cross-platform command-line utility designed to explain the origin and cause of running processes, services, or anything bound to a port. Traditional tools show what is running, but witr goes a step further by correlating that state across process supervisors, containers, or system services to build a narrative of why the item exists. It supports major operating systems including Linux, macOS, Windows, and FreeBSD, and produces human-readable... -
20
ChatDBG
ChatDBG - AI-assisted debugging. Uses AI to answer 'why'
ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers like pdb, lldb, and gdb. It allows developers to engage in a dialog with the debugger, asking open-ended questions about their program's behavior, and provides error diagnoses and suggested fixes. -
21
Controllable-RAG-Agent
This repository provides an advanced RAG
...At query time, it anonymizes entities, creates a high-level plan, de-anonymizes and expands that plan into concrete retrieval or reasoning tasks, and executes them in sequence while continuously revising the plan. A key focus is hallucination control: each answer is verified against retrieved context, and responses are reworked when they are not sufficiently grounded in the source documents. -
22
Dexter
An autonomous agent for deep financial research
...It uses a multi-agent architecture with components such as a planning agent (to decompose queries), an action agent (to run tasks & fetch data), and self-validation mechanisms: after getting results, Dexter checks its own outputs and refines them until it is confident about its answer. This means it's more than a simple script — it’s a research assistant that loops through analysis steps until convergence. -
23
fping
High performance ping tool
...There was no official fping release from 2002 until end of 2011. Various patches existed, but were never integrated "upstream". Also, the official maintainer didn't answer emails, so I decided to just step up and take over maintenanceship.To mark this change of maintenance, and avoid confusion, I decided to call it version 3. Besides a new maintainer, fping now also features a completely rewritten main loop implementation which improves performance significantly. The run time is now close to the theoretical time required to send and receive the pings under the specified parameters. -
24
hey
HTTP load generator, ApacheBench (ab) replacement
...It also supports HTTP2 endpoints. It’s simple, efficient, performant, powerful, and was designed as a more modern alternative to Apache’s AB. Why ever look elsewhere one may ask? Well the answer for me is that the summary output, whilst very cool, is a little too simplistic for my use-case. -
25
Vidi2
Large Multimodal Models for Video Understanding and Editing
Vidi is a family of large multimodal models developed for deep video understanding and editing tasks, integrating vision, audio, and language to allow sophisticated querying and manipulation of video content. It’s designed to process long-form, real-world videos and answer complex queries such as “when in this clip does X happen?” or “where in the frame is object Y during that moment?” — offering temporal retrieval, spatio-temporal grounding (i.e. locating objects over time + space), and even video question answering. Vidi targets applications like intelligent video editing, automated video search, content analysis, and editing assistance, enabling users to efficiently locate relevant segments and objects in hours-long footage. ...
