Search Results for "vocabulary"
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Showing 392 open source projects for "vocabulary"
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1
SAM 3
Code for running inference and finetuning with SAM 3 model
SAM 3 (Segment Anything Model 3) is a unified foundation model for promptable segmentation in both images and videos, capable of detecting, segmenting, and tracking objects. It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. ... -
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My Vocabulary
Simple Vocabulary app
A tiny, always-on-top overlay flashcard app for effortless vocabulary learning while you work or browse. ⚠️ Note about full-screen games Some games use exclusive fullscreen (DirectX/OpenGL/Vulkan). In that mode overlays cannot draw on top. Switch to borderless windowed (fullscreen) mode instead. -
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Vosk Speech Recognition Toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi
...It enables speech recognition for 20+ languages and dialects - English, Indian English, German, French, Spanish, Portuguese, Chinese, Russian, Turkish, Vietnamese, Italian, Dutch, Catalan, Arabic, Greek, Farsi, Filipino, Ukrainian, Kazakh, Swedish, Japanese, Esperanto, Hindi, Czech, Polish. More to come. Vosk models are small (50 Mb) but provide continuous large vocabulary transcription, zero-latency response with streaming API, reconfigurable vocabulary and speaker identification. Speech recognition bindings are implemented for various programming languages like Python, Java, Node.JS, C#, C++, Rust, Go and others. Vosk supplies speech recognition for chatbots, smart home appliances, and virtual assistants. ... -
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HomeRobot
Mobile manipulation research tools for roboticists
...It provides interfaces for Detic, Grounded-SAM, and Contact-GraspNet, allowing open-vocabulary detection and 3D grasping. -
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alphageometry
AI-driven neuro-symbolic solver for high-school geometry problems
...The DDAR solver focuses purely on rule-based reasoning, while AlphaGeometry enhances this by using a learned model to suggest auxiliary constructions when logical reasoning alone is insufficient. The repository includes pre-trained weights, vocabulary files, and detailed configuration options for reproducing experiments. -
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SentencePiece
Unsupervised text tokenizer for Neural Network-based text generation
SentencePiece is an unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training. SentencePiece implements subword units (e.g., byte-pair-encoding (BPE) [Sennrich et al.]) and unigram language model [Kudo.]) with the extension of direct training from raw sentences. SentencePiece allows us to make a purely end-to-end system that does not depend on language-specific pre/postprocessing. ... -
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English-level-up-tips
An advanced guide to learn English which might benefit you a lot
English-level-up-tips is a comprehensive open-source guide designed to help learners improve their English language skills across a broad range of competencies, from vocabulary and grammar to listening, speaking, reading, and writing. Structured as a language learning tutorial, the project aggregates tips, strategies, explanations, and resources that go beyond simple phrase lists, encouraging learners to develop a deep understanding of how English works and how to use it effectively. The repository includes structured sections that address different skill areas with lessons, exercises, and recommended approaches tailored to learners at various stages of proficiency. ... -
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Schema.DTS
JSON-LD TypeScript types for Schema vocabulary
The project provides a comprehensive set of TypeScript typings based on the Schema vocabulary, enabling developers to author JSON-LD structured data with strong type safety. It supplies both high-level discriminated unions and helper types to model contexts, graphs, and linked data relationships with clarity and accuracy. Usage examples demonstrate how one can import types like Person, WithContext, or Graph and compose JSON-LD objects in a way that aligns with semantic-web and knowledge-graph practices. ... -
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Rime ICE
rime-ice is a highly optimized schema for the RIME input method
rime-ice is a highly optimized schema for the RIME (中州韻) input method engine, offering a clean, intelligent, and efficient Chinese input experience. Built with modular configuration files and designed for performance, rime-ice provides powerful input suggestions, simplified vocabulary, and flexible customization, catering to users who want a streamlined and practical Chinese typing setup. -
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Pot Desktop
A cross-platform software for text translation and recognition
...The tool supports external plugin extensions, which means its functionality can be expanded far beyond the built-in options: you can add translation engines, OCR backends, TTS engines, vocabulary export (e.g. for language learning), and more. Pot-Desktop works on Windows, macOS, and Linux (including Wayland environments), and offers convenient installers or package-manager installation methods (e.g. via brew or .deb, etc.), so it’s accessible for users on all major desktop OSes. -
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IBM-ODM-Docker
This repository allows to deploy an IBM Operational Decision Manager
...IBM ODM is a decisioning platform to automate your business policies. Business rules are used at the heart of the platform to implement decision logic on a business vocabulary and run it as web decision services. -
12
ML Ferret
Refer and Ground Anything Anywhere at Any Granularity
Ferret is Apple’s end-to-end multimodal large language model designed specifically for flexible referring and grounding: it can understand references of any granularity (boxes, points, free-form regions) and then ground open-vocabulary descriptions back onto the image. The core idea is a hybrid region representation that mixes discrete coordinates with continuous visual features, so the model can fluidly handle “any-form” referring while maintaining precise spatial localization. The repo presents the vision-language pipeline, model assets, and paper resources that show how Ferret answers questions, follows instructions, and returns grounded outputs rather than just text. ... -
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Mistral Finetune
Memory-efficient and performant finetuning of Mistral's models
...The repo includes utilities for data preprocessing (e.g. reformat_data.py), validation scripts, and example YAML configs for training variants like 7B base or instruct models. It supports function-calling style datasets (via "messages" keys) as well as plain text formats, with guidelines on formatting, tokenization, and vocabulary extension (e.g. extending vocab to 32768 for some models) before finetuning. The project also provides tutorial notebooks (e.g. mistral_finetune_7b.ipynb) to walk through the steps. -
14
minbpe
Minimal, clean code for the Byte Pair Encoding (BPE) algorithm
...It operates on UTF-8 encoded bytes rather than Unicode characters, which makes it robust to arbitrary text inputs and avoids needing a language-specific character vocabulary. The repository is structured as a teaching-oriented implementation that shows how to train a tokenizer by learning merge rules, then apply those merges to encode text into token IDs and decode tokens back into text. It is intentionally small and readable so developers can understand each stage of BPE, including the mechanics of pair counting, merge application, and vocabulary growth. ... -
15
Hera
Hera is an Argo Python SDK
...Hera aims to make the construction and submission of various Argo Project resources easy and accessible to everyone! Hera abstracts away low-level setup details while still maintaining a consistent vocabulary with Argo. -
16
Amical
Open Source AI Dictation App
...It leverages both local and cloud-based AI models, letting users seamlessly switch between providers for the ideal balance of speed, precision, and control, and understands the context of each app in use to automatically format text in a tone and style appropriate to the platform. Users can enhance transcription accuracy with custom vocabulary tailored to industry jargon, proper nouns, and personal terms, and set up personalized voice shortcuts to trigger workflows or dictate across applications. Amical supports multilingual dictation with over 50 languages at native-level accuracy. Its features include a floating desktop widget for easy access, voice-activated commands, custom hotkeys, transcription history, and more. -
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carbon-components-svelte
Svelte implementation of the Carbon Design System
...The library also sits within a broader Carbon Svelte ecosystem that includes icon components, pictograms, charts, and preprocessors, which makes it possible to assemble full product interfaces with a unified design vocabulary. Its styling model supports multiple official themes. -
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Saladict
Pop-up dictionary and page translator with multiple search modes
All-in-one professional pop-up dictionary and page translator which supports multiple search modes, page translations, new word notebook and PDF selection searching. Saladict supports mixed use of multiple search modes. Whether it be single-click, double-click, pop-up icon, hovering or keyboard shortcuts, you name it. The combination of dictionaries is dynamically adjusted according to search text and Saladict profile. Although Saladict is built for looking up English words, it also supports... -
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Javassist
Java bytecode engineering toolkit
...If the users use the source- level API, they can edit a class file without knowledge of the specifications of the Java bytecode. The whole API is designed with only the vocabulary of the Java language. You can even specify inserted bytecode in the form of source text; Javassist compiles it on the fly. On the other hand, the bytecode-level API allows the users to directly edit a class file as other editors. -
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API Platform Core
The server component of API Platform, hypermedia and GraphQL APIs
...It is a component of the API Platform framework and it can be integrated with the Symfony framework using the bundle distributed with the library. It natively supports popular open formats including JSON for Linked Data (JSON-LD), Hydra Core Vocabulary, OpenAPI v2 (formerly Swagger) and v3, HAL and Problem Details. Build a working and fully-featured CRUD API in minutes. Leverage the awesome features of the tool to develop complex and high-performance API-first projects. Extend or override everything you want. -
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Read Frog
Open Source Immersive Translate
Read Frog is an open-source browser extension designed to transform everyday web reading into an immersive language learning experience powered by artificial intelligence. The tool integrates translation, contextual explanations, and content analysis directly into the browsing workflow so users can learn languages naturally while reading authentic online content. Instead of forcing learners to switch between translation tools and the original text, the extension displays translations... -
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Marksheet
Free tutorial to learn HTML and CSS
...It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate concepts without burying readers in boilerplate. The material emphasizes progressive mastery, encouraging learners to build small pages and refine them with better structure and style. It’s a useful reference to revisit after your first projects, reinforcing fundamentals that make larger frameworks easier to learn later. -
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Front-End Design Checklist
The Design Checklist for Creative Web Designers
...The resource includes checks for responsive breakpoints, interaction states, accessibility considerations, and asset preparation, reducing rework later in the build. It promotes shared vocabulary and artifacts, helping teams avoid ambiguities around components, states, and edge cases. By using it early in the process, teams can prevent visual drift, inconsistent spacing, and incomplete specifications. The result is a repeatable, predictable path from mockup to production-quality UI. -
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WeClone
One-stop solution for creating your digital avatar from chat history
...It is intended primarily as an experimental exploration of digital personality modeling and conversational AI personalization. By processing large volumes of conversation data, WeClone can build a profile of an individual’s writing tone, vocabulary preferences, and conversational tendencies. Developers can use the resulting model to create chatbots that simulate a specific user’s communication patterns for testing or research purposes. Overall, WeClone explores the idea of digital identity replication through machine learning and conversational modeling. -
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llmx.txt hub
The largest directory for AI-ready documentation and tools
llms-txt-hub serves as a central directory and knowledge base for the emerging llms.txt convention, a simple, text-based way for project owners to communicate preferences to AI tools. It catalogs implementations across projects and platforms, helping maintain a shared understanding of how LLM-powered services should interact with code and documentation. The repository aims to standardize patterns for allowlists, denylists, attribution, rate expectations, and contact information, mirroring...
