Search Results for "linux text editor" - Page 53
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Showing 1369 open source projects for "linux text editor"
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OpenOCR will be a commercial quality ocr engine with tools for pre- and post-processing of images and resulting text.
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Developing a serie of tools to apply markov chain analysis to text considered as time series. The primary purposes are the development of efficient core tools and adaptors to allow a variety of text sources to be processed, and of a library of sample ap
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MUD engine, enables interaction with text-only, XML clients. Has on-line/in-game world creation capability. WotC's OGL SRD and Java based, capable of scalable worlds across distributed servers. In short a next generation MMORPG engine.
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JobHunter aims to automatically find job information from some big sites such as chinahr,51job,zhaopin and so on. JobHunter searches the email address of each job item and automatically sends a email of application text to it.
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Pangaea will be a robust and feature filled game engine built using Allegro (http://alleg.sourceforge.net) It will be similar to Final Fantasy 1-3, etc., complete with map editor/world builder.
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VOCP is a complete messaging solution for voice modems, with voicemail, fax, email pager, DTMF command shell and Text-to-Speech support, 3 GUIs and a web interface. Send and receive faxes and voicemail, listen to emails and execute programs on the host.
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A DAML+OIL ontology editor with constraint propagation functionality to ensure that constraints applied to properties and restrictions are correctly propagated through an ontology, and datatype management functionality for manipulating custom datatypes.
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Talkbox is a program wich makes your computer talk "with" you. It has a AI based on ALICE program C and uses Festvial speech engin along with speechd to produce voice synthisis. You input text by typeing there is no support for voice reconition.
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Libmluv is a C/C++ programmers library to provide the Czech text-to-speech synthesis and should be able to do transcription of Czech text to string of phonemes.
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Contextual rule-based text normalization engine written in java, that can be used to implement stemming algorithms or phonetic normalizers. The project includes a french stemmer/phonetic normalizer, and a soundex implementation. Includes a Lucene Analyzer
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due... -
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Anarchivist is the name of the rewrite of the AustLII software (www.austlii.edu.au). The project seeks to produce a full-text indexing search engine (for remote and local documents) and an XML/XSLT based document repository, among others.
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When translating becomes a game ! Text to translate can be graphically selected. Several dictionnaries can be sorted according to the context. A large choice of matching strategies is available. The OCR engine is tunable.
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krmp3 is a car mp3 player which currently provides interaction through text to speech synthesis and a keypad. It allows Playlist managment, the ability to rip cd's as you drive and other administrative tasks.
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OpenAI Realtime Console
React app for inspecting, building and debugging with the Realtime API
openai-realtime-console is a developer tool created by OpenAI that provides a web-based console for experimenting with the Realtime API. The Realtime API enables low-latency, interactive communication with language models, supporting use cases such as live conversations, real-time transcription, and interactive applications. This console serves as a reference implementation, showing how to establish WebRTC or WebSocket connections, send audio or text inputs, and receive model outputs in real... -
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** IMPORTANT NOTICE ** 10 Feb 2006 Code is being moved to the SMI subversion repository (http://smi-protege.stanford.edu/svn/owl/trunk/) Project will continue to be open source. ProtegeOWL info at: http://protege.stanford.edu/overview/protege-owl.html
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t5-base
Flexible text-to-text transformer model for multilingual NLP tasks
t5-base is a pre-trained transformer model from Google’s T5 (Text-To-Text Transfer Transformer) family that reframes all NLP tasks into a unified text-to-text format. With 220 million parameters, it can handle a wide range of tasks, including translation, summarization, question answering, and classification. Unlike traditional models like BERT, which output class labels or spans, T5 always generates text outputs. It was trained on the C4 dataset, along with a variety of supervised NLP... -
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t5-small
T5-Small: Lightweight text-to-text transformer for NLP tasks
T5-Small is a lightweight variant of the Text-To-Text Transfer Transformer (T5), designed to handle a wide range of NLP tasks using a unified text-to-text approach. Developed by researchers at Google, this model reframes all tasks—such as translation, summarization, classification, and question answering—into the format of input and output as plain text strings. With only 60 million parameters, T5-Small is compact and suitable for fast inference or deployment in constrained environments. It... -
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CLIP-ViT-bigG-14-laion2B-39B-b160k
CLIP ViT-bigG/14: Zero-shot image-text model trained on LAION-2B
CLIP-ViT-bigG-14-laion2B-39B-b160k is a powerful vision-language model trained on the English subset of the LAION-5B dataset using the OpenCLIP framework. Developed by LAION and trained by Mitchell Wortsman on Stability AI’s compute infrastructure, it pairs a ViT-bigG/14 vision transformer with a text encoder to perform contrastive learning on image-text pairs. This model excels at zero-shot image classification, image-to-text and text-to-image retrieval, and can be adapted for tasks such as... -
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A graphical, interactive, multimedia-rich text reader integrated with computer text-to-speech whose level of focus, complexity, and detail is adjustable according to the user's needs. Suitable for users with learning disabilities: i.e. dyslexia.
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bart-large-cnn
Summarization model fine-tuned on CNN/DailyMail articles
facebook/bart-large-cnn is a large-scale sequence-to-sequence transformer model developed by Meta AI and fine-tuned specifically for abstractive text summarization. It uses the BART architecture, which combines a bidirectional encoder (like BERT) with an autoregressive decoder (like GPT). Pre-trained on corrupted text reconstruction, the model was further trained on the CNN/DailyMail dataset—a collection of news articles paired with human-written summaries. It performs particularly well in... -
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translategemma-4b-it
Lightweight multimodal translation model for 55 languages
translategemma-4b-it is a lightweight, state-of-the-art open translation model from Google, built on the Gemma 3 family and optimized for high-quality multilingual translation across 55 languages. It supports both text-to-text translation and image-to-text extraction with translation, enabling workflows such as OCR-style translation of signs, documents, and screenshots. With a compact ~5B parameter footprint and BF16 support, the model is designed to run efficiently on laptops, desktops, and...
