Search Results for "learning language" - Page 18
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Showing 873 open source projects for "learning language"
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Nightingale OS
A small operating system where I experiment and learn osdev
nightingale is a modern hobby operating system developed in Rust, focusing on safety, simplicity, and minimalism. It aims to be a clean platform for experimentation and learning, implementing a small kernel with core features like multitasking, memory protection, and a minimal filesystem. Its use of Rust provides strong guarantees around memory safety and eliminates common bugs found in low-level C-based systems. nightingale is ideal for those seeking to study OS development using a modern language with a strong safety model. -
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higgsfield
Fault-tolerant, highly scalable GPU orchestration
Higgsfield is an open-source, fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters, such as Large Language Models (LLMs). -
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Fuzzy machine learning framework
A library and a GUI front-end for fuzzy machine learning
Fuzzy machine learning framework is a library and a GUI front-end for machine learning using intuitionistic fuzzy data. The approach is based on the intuitionistic fuzzy sets and the possibility theory. Further characteristics are fuzzy features and classes; numeric, enumeration features and features based on linguistic variables; user-defined features; derived and evaluated features; classifiers as features for building hierarchical systems; automatic refinement in case of dependent features; incremental learning; fuzzy control language support; object-oriented software design with extensible objects and automatic garbage collection; generic data base support through ODBC or SQLite; text I/O and HTML output; an advanced graphical user interface based on GTK+; and examples of use. -
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OpenNN - Open Neural Networks Library
Machine learning algorithms for advanced analytics
OpenNN is a software library written in C++ for advanced analytics. It implements neural networks, the most successful machine learning method. Some typical applications of OpenNN are business intelligence (customer segmentation, churn prevention…), health care (early diagnosis, microarray analysis…) and engineering (performance optimization, predictive maitenance…). OpenNN does not deal with computer vision or natural language processing. The main advantage of OpenNN is its high performance. ... -
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Cobalt is a lightweight, experimental, fully object-oriented programming language built using Python. It is designed for learning programming concepts, language design, and rapid prototyping. Cobalt provides support for all major OOP features, including classes, objects, inheritance, polymorphism, abstraction, encapsulation, constructors, and reusable modular code design. The language uses a custom interpreter that performs lexical analysis, parsing, and runtime execution. ...
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7Bee
A scripting anguage interpretor mostly for building projects
7Bee is a scripting program with main purpose to execute project building scripts. However it isn't limited to the purpose yet and can be used for any other tasks where a scripting language makes sense. 7Bee scripting language is an XML language syntax based, so a learning curve should be a reasonably short. Read more about 7Bee scripting language under doc directory for the project. -
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LangChain Extract
Did you say you like data?
...Developers can create reusable “extractors” that define what type of information should be pulled from a document, along with example prompts that improve extraction quality through in-context learning. -
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Adaptive Intelligence
Adaptive Intelligence also known as "Artificial General Intelligence"
Adaptive Intelligence is the implementation of neural science, forensic psychology , behavioral science with machine-learning and artificial intelligence to provide advanced automated software platforms with the ability to adjust and thrive in dynamic environments by combining cognitive flexibility, emotional regulation, resilience, and practical problem-solving skills. -
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translate-gui
GUI for translate-shell, the cli tool for quick translation
GUI for the translate-shell, aims to be easy to use translator and a helpful tool for learning new languages. Most tools do a one way translation from source to target language, do to the reverse involves choosing the source and target languages again. This tool can do a 2 way translation accompanied by speech output of the target language text. Hence it can prove to be an indispensable aid when learning new languages -
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UnBBayes
Framework & GUI for Bayes Nets and other probabilistic models.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy. -
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Amoeba
Linux Command Line Learning Program
Amoeba is a Linux command-line learning program that observes and adapts to the Linux command line storing learned strings and their usage data. It enhances command-line proficiency by capturing command outputs, adapting string lengths, and periodically saving knowledge. Sandboxing is essential for security, and optionally a virtual machine would further isolates it from the host system. Contributions and improvements are encouraged via the GitHub repository. -
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Obscura
It's a personal microkernel project designed as a learning ground.
Obscura is a personal microkernel project designed as a learning ground for low-level operating systems. Its initial aim is to lay the foundations for a minimalist kernel, then gradually evolve towards a modular, stable and simple operating system. ## 🧭 Objectives - Learn and master : - Low-level C language - x86/x86_64 assembler - Modern processor architecture - Fundamental principles of operating systems - Develop a microkernel : - Lightweight and modular - Able to handle hardware interrupts (keyboard, timer) - Support minimal user space - Evolve to a simple OS: - With a rudimentary shell - Isolated user processes - A basis for experimenting with system concepts ## ⚙️ Project status > 🚧 Project under development - Learning phase (year 1) Short-term planned features : - [ ] Multiboot-compatible GRUB bootloader - [ ] Text mode display (VGA) - [ ] Interrupt management (IRQ / keyboard) - [ ] First task manager loop -
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AIConfig
AIConfig is a config-based framework to build generative AI apps
AIConfig is an open-source framework designed to simplify the development and management of generative AI applications by separating AI logic from application code. The framework allows prompts, model configurations, and parameters to be stored as structured configuration files that can be version controlled and managed independently from the rest of the software system. This approach improves collaboration between developers, prompt engineers, and machine learning practitioners by turning... -
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CollabAI
Enhance sales and satisfaction with Collab.ai's AI-driven platform.
Empowering businesses with AI-driven customer engagement solutions. Our innovative platform combines machine learning and natural language processing to automate interactions, boost sales, and enhance customer satisfaction. Experience the future of customer engagement with Collab.ai – where every interaction drives growth and success. -
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PyTextRank
Python implementation of TextRank algorithms
PyTextRank is a Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work -- and related knowledge graph practices. -
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Bandicoot
fast C++ library for GPU linear algebra & scientific computing
* Fast GPU linear algebra library (matrix maths) for the C++ language, aiming towards a good balance between speed and ease of use * Provides high-level syntax and functionality deliberately similar to Matlab * Provides an API that is aiming to be compatible with Armadillo for easy transition between CPU and GPU linear algebra code * Useful for algorithm development directly in C++, or quick conversion of research code into production environments * Distributed under the permissive Apache 2.0 license, useful for both open-source and proprietary (closed-source) software * Can be used for machine learning, pattern recognition, computer vision, signal processing, bioinformatics, statistics, finance, etc * Downloads: http://coot.sourceforge.io/download.html * Documentation: http://coot.sourceforge.io/docs.html * Bug reports: http://coot.sourceforge.io/faq.html * Git repo: https://gitlab.com/conradsnicta/bandicoot-code -
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Decaleon
Multilingual Esperanto Translator, Word Dictionary, Vocabulary Trainer
Esperanto Translator - translates sentences from 12 languages to Esperanto - VB.NET project based on XML - 30-60,000 words in each language: extensible Vocabulary for English, French, Spanish, Portoguese, Italian, German, Danish, Swedish, Greek, Russian, Polish and Croatian including context and synonym data as well as semantic group information. It includes an any-to-any multilingual Dictionary and Vocabulary Trainer (learning niveaus/logic themes/semantic groups) and uses UTF8/Unicode Characters; Export into Text, HTML, TeX, PDF Files; Text files may be imported in other Vocabulary Training Software. ... -
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NZMATH
Python Calculator on Number Theory, three-birds-one learning material
...This release contains several program corrections and additions obtained by writing a programming "notebook" of the book 'Lectures on Elementary Number Theory' (TAKAGI, Teiji) in Python-NZMATH language. The "notebook" is available together. It is designed for beginning students of algorithmic number theory to self-study Number Theory, Programming and scientific English together, three-birds-one learning material. It is possible only by running and reading the programs. You can get the notebook here: https://sourceforge.net/projects/nzmath/files/nzmath-enttakagi/ Visit our home page in detail: https://nzmath.sourceforge.io/ -
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GLM-4-32B-0414
Open Multilingual Multimodal Chat LMs
GLM-4-32B-0414 is a powerful open-source large language model featuring 32 billion parameters, designed to deliver performance comparable to leading models like OpenAI’s GPT series. It supports multilingual and multimodal chat capabilities with an extensive 32K token context length, making it ideal for dialogue, reasoning, and complex task completion. The model is pre-trained on 15 trillion tokens of high-quality data, including substantial synthetic reasoning datasets, and further enhanced with reinforcement learning and human preference alignment for improved instruction-following and function calling. ... -
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SMLX
A sheet music language, easy and intuitive to use
The purpose of SMLX project is to devise a sheet music language that most digital devices with keypad (e.g. mobile phones) can type melodies easily and intuitively for communication. From this basic, SMLX is capable of being a language for developing music. In other words, one can compose or modify music (multi-channel) by using vi editor. SMLX 計劃的主要目的是開發一種樂譜記載方式,以方便數位樂譜記錄及傳訊交流的目的. 對於音樂為主的使用者而言,使用一般vi編輯器即可編修多軌樂譜: .方便輸入修改: 一般傳(簡)訊時可簡易使用鍵盤表達旋律. 一般所見到的樂譜都可 ... -
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Math-Chemistry/Basic Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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Wikipedia2Vec
A tool for learning vector representations of words and entities
Wikipedia2Vec is an embedding learning tool that creates word and entity vector representations from Wikipedia, enabling NLP models to leverage structured and contextual knowledge. -
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EJE (Everyone's Java Editor)
Learn Java the easy way!
EJE is a simple Java editor, perfect to learn Java, without learning a complex development tool. EJE is multi-platform (written in Java), light- weight, user-friendly and have several useful basic features. A good help to start with Java! Supports the study of the Java for Aliens book (www.javaforaliens.com), or other my books (Italian Language) like www.nuovojava.it. You don't need to install the JDK anymore (the runtime is embedded). -
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Universal Sentence Encoder
Encoder of greater-than-word length text trained on a variety of data
The Universal Sentence Encoder (USE) is a pre-trained deep learning model designed to encode sentences into fixed-length embeddings for use in various natural language processing (NLP) tasks. It leverages Transformer and Deep Averaging Network (DAN) architectures to generate embeddings that capture the semantic meaning of sentences. The model is designed for tasks like sentiment analysis, semantic textual similarity, and clustering, and provides high-quality sentence representations in a computationally efficient manner. -
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RE/flex lexical analyzer generator
The regex-centric, fast lexical analyzer generator for C++
A C++ high-performance regex library and Flex-compatible lexical analyzer generator with full Unicode support, new indentation anchors, lazy quantifiers, and many other modern features. Accepts Flex lexer specification syntax and is compatible with Bison/Yacc parsers. Generates reusable source code that is easy to understand. Supports fast scanning of UTF-8/16/32 files, strings, and streams. The reflex scanner generator generates clean C++ lexer class code that is thread-safe. Generates...
