Search Results for "text processing" - Page 29
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718 projects for "text processing" with 1 filter applied:
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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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.
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ZhDict provides command-line tools to aid English speakers in reading and understanding Chinese texts.
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OpenNabu is a standalone personal wiki, featuring fast and simple content creation combined with highly customizable HTML export. All information is stored in plain text files and no additional server or database is needed.
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SrcComDoc allows documentation written in source comment rows to be extracted, formatted and highlighted according to the chosen documentation format. The basic SrcComDoc syntax is source and documentation language independent.
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Given a String , returns the next logically sequential string defined by a rule. The basic rule is, given a sequence of alphabets, it checks the string and returns a new string with one or more alteration. javadocs and source codes available inside.
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Compliant and Reliable File Transfers Backed by Top Security CertificationsStop relying on non-certified, legacy file transfer tools that creak under the weight of modern security demands. Get full audit trails, advanced access controls and more supported by an award-winning team of experts. Start your free 25-day trial today.
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The project main take the collection of small programs.Also maybe include a number of profiles under the linux,and so on.
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EasyCite is an easy to use, complete citation project that will assist researchers and students in generating bibliographies and footers.
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Yet Another Meeting Assistant (YaMA) can help you with minutes of meetings in a simple and efficient manner.
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TX is a free and open source cross-platform Computer Assisted Translation tool with translation memory, full and partial matches, machine translation, glossaries, search engine, support for various document types, and translation projects.
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AuthorWeb is an organization platform for writers of all kind which includes tools for creating and organizing Characters, Sets, Plots, Scenes, and other information for the craft. Written in Java, the executable jar can be run on any OS platform.
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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.
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This project will provide tools for user to convert existing web sites, blogs and documents with non-standard Myanmar font data to Unicode 5.1 compatible data. (Zawgyi to Unicode 5.1, WinMyanmar system to Unicode 5.1 etc.)
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A little tool which provide opportunity to manage data stored in system clipboard. This project uses java as a language. And don't depends on OS, desktop environment etc...
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Adapt is data conversion language developped in 1984 by Norman W. Molhant and Christophe Dupriez. It has been used in many circumstances, it translated itself in many programming environment and it should evolve now toward modern environments like Java.
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mms-300m-1130-forced-aligner
CTC-based forced aligner for audio-text in 158 languages
...The alignment pipeline includes audio processing, emission generation, tokenization, and span detection, making it suitable for speech analysis, transcription syncing, and dataset creation. This model is especially useful for researchers and developers working with low-resource languages or building multilingual speech systems. -
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MiMo-V2.5
Omnimodal AI model for agents, coding, and long-context tasks
MiMo-V2.5 is a native omnimodal large language model developed by Xiaomi, designed for advanced agentic workflows, multimodal reasoning, and long-context processing. Built on a Mixture-of-Experts architecture with approximately 309B total parameters and around 15B activated per inference, it balances high capability with efficient execution. The model natively processes text, images, video, and audio within a unified system, enabling cross-modal understanding and complex task execution in a single pipeline. ... -
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Ministral 3 8B Instruct 2512
Compact 8B multimodal instruct model optimized for edge deployment
Ministral 3 8B Instruct 2512 is a balanced, efficient model in the Ministral 3 family, offering strong multimodal capabilities within a compact footprint. It combines an 8.4B-parameter language model with a 0.4B vision encoder, enabling both text reasoning and image understanding. This FP8 instruct-fine-tuned variant is optimized for chat, instruction following, and structured outputs, making it ideal for daily assistant tasks and lightweight agentic workflows. Designed for edge deployment,... -
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Bio_ClinicalBERT
ClinicalBERT model trained on MIMIC notes for clinical NLP tasks
Bio_ClinicalBERT is a domain-specific language model tailored for clinical natural language processing (NLP), extending BioBERT with additional training on clinical notes. It was initialized from BioBERT-Base v1.0 and further pre-trained on all clinical notes from the MIMIC-III database (~880M words), which includes ICU patient records. The training focused on improving performance in tasks like named entity recognition and natural language inference within the healthcare domain. Notes were... -
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Ministral 3 3B Base 2512
Small 3B-base multimodal model ideal for custom AI on edge hardware
...It supports dozens of languages, making it practical for multilingual, global, or distributed environments. With a large 256k token context window, it can handle long documents, extended inputs, or multi-step processing workflows even at its small size. -
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Ministral 3 14B Instruct 2512
Efficient 14B multimodal instruct model with edge deployment and FP8
Ministral 3 14B Instruct 2512 is the largest model in the Ministral 3 family, delivering frontier performance comparable to much larger systems while remaining optimized for edge-level deployment. It combines a 13.5B-parameter language model with a 0.4B-parameter vision encoder, enabling strong multimodal understanding in both text and image tasks. This FP8 instruct-tuned variant is designed specifically for chat, instruction following, and agentic workflows with robust system-prompt...
