Search Results for "answer" - Page 3
Sort By:
Showing 111 open source projects for "answer"
View related business solutions-
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
-
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
-
1
Rebus
A challenging and portable Rebus puzzle game for Windows.
Rebus is a captivating portable Windows game where you solve clever visual puzzles. Test your creative thinking and decipher words or phrases from images and symbols. -
2
QuizSolver
AI-powered quiz solver for Windows. Free to use, easy to set up.
QuizSolver is a free Windows app that uses AI vision to automatically read and answer quiz questions on your screen. It takes a screenshot, detects the answer buttons, sends the question to an AI model, and clicks the correct answer in seconds. Built-in support for Quizalize and Quipper. A Custom mode is available for other quiz sites, though results may vary. HOW TO SET UP: 1. Download and unzip QuizSolver — no installation needed 2. -
3
rag-search
RAG Search API
rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. -
4
Ghicitoare
A challenging and portable Riddles puzzle game for Windows.
A challenging and portable Riddles puzzle game for Windows. Fun and entertaining. It only runs on Microsoft Windows operating system and is only in Romanian. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
5
PC Workman HCK
AI-powered PC monitoring that explains. Not shows numbers/spikes.
Your PC says CPU 87%. PC Workman says why, since when, and what to do about it. Real-time system monitor with built-in offline AI. No cloud. Your data stays on your machine. What's inside: -hck_GPT: 82-intent AI assistant. -Ask it anything about your PC in Polish or English. -9-layer routing, learns your usage patterns over weeks. -TURBO mode: one click stops unnecessary services (Gaming/Work/Economy profiles), switches power plan, flushes RAM, freezes idle apps. -One click restores... -
6
Lingueez - Vocabulary Builder
Collect vocabulary from anywhere, organize, and master it.
...It then turns your personal word list into spaced-repetition flashcards that resurface each word right before you'd forget it, so your study time goes where it's needed most. And when recognizing a word is no longer enough, the quiz asks you to pick the right answer — or type it out yourself, in either direction. Beyond flashcards, Lingueez reads your words aloud with natural text-to-speech and generates short reading passages built from the vocabulary you're learning, so you see every word in real context. Your library is yours: everything works offline, with no account required. ... -
7
FreeAskInternet
FreeAskInternet is a completely free running search aggregator
FreeAskInternet is a self-hosted search and answer application that combines web results with large language models. A local SearXNG instance sends queries to multiple search engines and returns a broader collection of sources. The backend crawls selected pages, supplies their content to a configured model, and streams a synthesized response to the chat interface. It supports several hosted model services as well as custom local backends such as Ollama and llama.cpp. -
8
DeepSeek VL
Towards Real-World Vision-Language Understanding
DeepSeek-VL is DeepSeek’s initial vision-language model that anchors their multimodal stack. It enables understanding and generation across visual and textual modalities—meaning it can process an image + a prompt, answer questions about images, caption, classify, or reason about visuals in context. The model is likely used internally as the visual encoder backbone for agent use cases, to ground perception in downstream tasks (e.g. answering questions about a screenshot). The repository includes model weights (or pointers to them), evaluation metrics on standard vision + language benchmarks, and configuration or architecture files. ... -
9
SolidGPT
Developer AI Persona Search Agent
SolidGPT is a AI searching assistant for developers that helps code and workspace semantic search. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
10
LangChain-ChatGLM-Webui
Automatic question answering for local knowledge bases based on LLM
...The project provides a graphical interface that allows users to interact with language models through chat sessions while also connecting those models to external knowledge sources. It supports retrieval-augmented generation workflows that enable the system to answer questions based on local documents or knowledge bases. By leveraging the LangChain framework, the platform allows developers to integrate tools such as vector databases, document loaders, and prompt chains into the chatbot workflow. The web interface simplifies the process of running and experimenting with ChatGLM models locally or on servers without requiring extensive command-line configuration. -
11
Canopy
Retrieval Augmented Generation (RAG) framework
...It is designed to handle many of the complex components required for a RAG workflow, including document chunking, embedding generation, prompt construction, and chat history management. Developers can use Canopy to quickly build chat systems that answer questions using their own data instead of relying solely on the pretrained knowledge of the language model. The framework includes a built-in server and command-line interface that allow users to experiment with RAG pipelines and compare outputs between retrieval-augmented responses and standard LLM responses. -
12
RAGxplorer
Open-source tool to visualise your RAG
...However, RAG systems can be complex because they involve multiple components such as embedding models, vector databases, and retrieval algorithms. RAGxplorer provides visual tools that allow developers to inspect how documents are embedded, retrieved, and used to answer queries. The software can load documents, generate embeddings, and project them into reduced vector spaces so that users can visually explore relationships between queries and retrieved documents. It also includes interactive interfaces that show how retrieval affects the final output of the language model. -
13
RAGs
Build ChatGPT over your data, all with natural language
RAGs is an open-source application designed to simplify the creation of retrieval-augmented generation pipelines through an interactive interface. Built with Streamlit and powered by the LlamaIndex ecosystem, the tool allows users to construct AI assistants that answer questions using their own data sources. Instead of requiring extensive programming knowledge, the application allows users to configure and build a RAG system using natural language instructions. The system automatically generates pipeline configurations that control how documents are retrieved, processed, and summarized before being used by a language model to generate responses. ... -
14
D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to... -
15
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... -
16
Language Models
Explore large language models in 512MB of RAM
...By using small and optimized models, the library allows LLM inference to run in environments with limited resources, sometimes requiring only a few hundred megabytes of memory. The package provides simple APIs that allow developers to generate text, perform semantic search, classify text, and answer questions using local models. It is particularly useful for educational purposes, as it demonstrates the fundamental mechanics of language model inference and prompt-based applications. The repository includes multiple example applications such as chatbots, document question answering systems, and information retrieval tools. -
17
FlickOS
Lightweight, Elegant and Sustainable Operating System
...Support If you are having trouble installing or have some suggestions, you can email me at dvbondoy@gmail.com. You may also join our Reddit community at r/flickos, I am always there to answer your questions. Create issues at https://github.com/dvbondoy/FlickOS/issues Download the ISO file, write it to flash-drive using Etcher and boot your computer to the USB. -
18
JumbleGame
A word puzzle game with a set of words scrambled.
A word puzzle game with a set of words, each of which is “jumbled” or scrambled. A solver answers the scrambled word with the correct word, and can also request for a hint -
19
Ever forgot your script during an online meeting?? Hard to answer question while teachers asking?? Forgetting things which you are taught?? Here is your solution 😉😉 Introducing Transparent Notes, the window will act as an overlay to your preferred meet. Type or paste anything you want.
-
20
Grade School Math
8.5K high quality grade school math problems
...The problems are written by human authors (not automatically generated) to ensure linguistic variety and realism. The repository maintains strict formatting (e.g. JSONL) for problem + answer pairs, and is used broadly in research to benchmark model performance under “word problem” settings. Issues are tracked (people report incorrect problems, ambiguous statements), and contributions are possible for cleaning or expanding the set. -
21
BlooketHack
One of the First Blooket hacks online
First you must download python 3.7. On install you do need to check the "Add to path" option when you can do so. Second you must download the code here on GitHub. Third you need to extract the files from the .zip file you downloaded. Finally, just double click the main.py file. Original code by: kgsensei. Works on most game modes, Gold Quest (Tested - Working) Tower Defense (Tested - Working) Café (Tested - Working) Factory (Tested - Working) Racing (Tested - Working) Classic (Tested -... -
22
Perceptual Similarity Metric and Dataset
LPIPS metric. pip install lpips
...Recently, the deep learning community has found that features of the VGG network trained on ImageNet classification has been remarkably useful as a training loss for image synthesis. But how perceptual are these so-called "perceptual losses"? What elements are critical for their success? To answer these questions, we introduce a new dataset of human perceptual similarity judgments. We systematically evaluate deep features across different architectures and tasks and compare them with classic metrics. We find that deep features outperform all previous metrics by large margins on our dataset. -
23
HSKinter
Chinese Words Study (HSK 1–5) on Desktop and Phone
...Optional pronunciation via gTTS (Google). Compatible with Pydroid 3 (runs on Android). The frequency of a word showing up depends on its retaining level and time since the last answer (age). -
24
DrQA
Reading Wikipedia to Answer Open-Domain Questions
DrQA is an open-domain question answering system that reads large text corpora—famously Wikipedia—to answer natural language questions with extractive spans. It follows a two-stage pipeline: a fast document retriever first narrows down candidate articles, and a neural machine reader then predicts the exact answer span from those passages. The retriever relies on classic IR features (like TF-IDF and n-gram statistics) to remain lightweight and scalable to millions of documents. ... -
25
BudgetML
Deploy a ML inference service on a budget in 10 lines of code
...Deploying from scratch involves learning too many different concepts like SSL certificate generation, Docker, REST, Uvicorn/Gunicorn, backend servers etc., that are simply not within the scope of a typical data scientist. BudgetML is our answer to this challenge. It is supposed to be fast, easy, and developer-friendly. It is by no means meant to be used in a full-fledged production-ready setup. It is simply a means to get a server up and running as fast as possible with the lowest costs possible.
