Search Results for "language learning" - Page 19
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Showing 934 open source projects for "language learning"
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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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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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H-plus-plus
An easy to learn powerful Programming Language
...Paired with its dedicated Pro Studio IDE, H++ offers a seamless, zero-config gateway for beginners to master complex logic without the steep learning curve of traditional syntax. It is the perfect blend of simplicity and raw power. -
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Loss
The Brutalist Market Analyzer
LOSS is a high-speed, "split-stack" financial dashboard designed to strip away market noise. By combining mathematically rigorous technical indicators with VADER-powered AI sentiment analysis, LOSS delivers objective, real-time Buy, Sell, or Hold verdicts in under two seconds. Wrapped in a distraction-free, "Brutalist" user interface, this tool is built for traders who rely on data, not hype. Modern financial websites are bloated with ads, conflicting opinions, and unnecessary jargon.... -
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OSWorld
Benchmarking Multimodal Agents for Open-Ended Tasks
OSWorld is an open-source synthetic world environment designed for embodied AI research and multi-agent learning. It provides a richly simulated 3D world where multiple agents can interact, perform tasks, and learn complex behaviors. OSWorld emphasizes multi-modal interaction, enabling agents to process visual, auditory, and symbolic data for grounded learning in a simulated world. -
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LLM101n
LLM101n: Let's build a Storyteller
LLM101n is an educational repository that walks you through building and understanding large language models from first principles. It emphasizes intuition and hands-on implementation, guiding you from tokenization and embeddings to attention, transformer blocks, and sampling. The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a... -
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BitNet
BitNet: Scaling 1-bit Transformers for Large Language Models
BitNet is a machine learning research implementation that explores extremely low-precision neural network architectures designed to dramatically reduce the computational cost of large language models. The project implements the BitNet architecture described in research on scaling transformer models using extremely low-bit quantization techniques. In this approach, neural network weights are quantized to approximately one bit per parameter, allowing models to operate with far lower memory usage than traditional 16-bit or 32-bit neural networks. ... -
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Lumen
Custom stack-based scripting language, compiler, and bytecode VM.
Lumen is a lightweight, stack-based scripting language built from scratch in C++20, complete with its own compiler, custom bytecode format, and virtual machine. It's designed to be simple enough to pick up quickly while still exposing the real mechanics behind how programming languages work making it as much a learning tool as a usable scripting language. It's also available on Android. -
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Transformers.jl
Julia Implementation of Transformer models
Transformers.jl is a Julia library that implements Transformer models for natural language processing tasks. Inspired by architectures like BERT, GPT, and T5, the library offers a modular and flexible interface for building, training, and using transformer-based deep learning models. It supports training from scratch and fine-tuning pretrained models, and integrates with Flux.jl for automatic differentiation and optimization. -
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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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Furigana for PowerPoint
Fast, offline furigana tool for Microsoft PowerPoint
...Existing blocks can be edited, resized and reflowed, while “Set free” converts them back into ordinary PowerPoint textboxes for unrestricted manual adjustment. Designed especially for teachers, tutors and creators of Japanese-language learning materials. Portable, privacy-friendly and licensed under GPL-2.0-or-later. v1.03: added partial line selection v1.02: added Japanese interface v1.01: added configurable hotkeys PS: feedback & suggestions welcome! -
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CSCall++
C++ interface for Clib and syscall
...By eliminating redundant complexity and verbosity, development becomes highly deterministic, allowing applications to utilize components almost mechanically with zero runtime edge cases. Focus on Real Problems, Not Language Overhead: Minimizing learning curves frees developers from endless "backward learning" (legacy quirks), redirecting energy toward actual business logic. Code As Formal Proof: Built with theoretical completeness. C/C++ can serve as a rigorous, physically verifiable foundation for formal mathematical and logical languages. 本庫屬基礎 C++ 庫, 封裝常用 C 函式與系統呼叫為直覺介面, 旨在高效物件導向開發. ... -
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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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Ai-Learn
The artificial intelligence learning roadmap compiles 200 cases
Ai-Learn is an open-source artificial intelligence learning roadmap that aggregates educational materials, tutorials, and practical projects designed to help beginners study AI and machine learning systematically. The repository was created to help learners start self-study programs in artificial intelligence without getting overwhelmed by the large number of available resources. It organizes topics such as Python programming, mathematics for machine learning, data analysis, deep learning, computer vision, and natural language processing into a structured learning path. ... -
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Label Sleuth
Open source no-code system for text annotation and building of text
...From task definition to working model in just a few hours! While domain experts label their data, Label Sleuth automatically trains in the background-appropriate machine learning models. To avoid wasted labeling effort, Label Sleuth employs active learning techniques to guide the user in what they should be labeled next. Domain experts can quickly start labeling their data through an intuitive user interface. Developed by researchers across industry and academia, Label Sleuth incorporates the latest research from human-computer interaction, natural language processing, and artificial intelligence. ... -
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PKU Beaver
Constrained Value Alignment via Safe Reinforcement Learning
PKU Beaver is an open-source research project focused on improving the safety alignment of large language models through reinforcement learning from human feedback under explicit safety constraints. The framework introduces techniques that separate helpfulness and harmlessness signals during training, allowing models to optimize for useful responses while minimizing harmful behavior. To support this process, the project provides datasets containing human-labeled examples that encode both performance preferences and safety constraints across multiple dimensions. ... -
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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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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/Visual Math-Chemistry Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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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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ChatCraft.org
Developer-oriented ChatGPT clone
Welcome to ChatCraft.org, your open-source web companion for coding with Large Language Models (LLMs). Designed with developers in mind, ChatCraft transforms the way you interact with GPT models, making it effortless to read, write, debug, and enhance your code. Whether you're exploring new designs or learning about the latest technologies, ChatCraft is your go-to platform. With a user interface inspired by GitHub, and editable Markdown everywhere, you'll feel right at home from the get-go. -
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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... -
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TypeScript Deep Dive
The definitive guide to TypeScript
TypeScript Deep Dive is a free, open-source book for learning professional TypeScript and the JavaScript concepts that support it. It begins with language fundamentals and progresses through project configuration, modules, declarations, and migration from JavaScript. Detailed chapters explain interfaces, generics, inference, unions, type guards, JSX, React, and strict compiler options. The book also covers testing, npm workflows, formatting, linting, and practical coding patterns. ... -
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Text-to-image Playground
A playground to generate images from any text prompt using SD
dalle-playground is an open-source web application that allows users to generate images from natural language text prompts using modern text-to-image generative models. Originally built around DALL-E Mini, the project later transitioned to using Stable Diffusion, enabling more detailed and higher-quality image synthesis. The system combines a backend machine learning service with a browser-based frontend interface that lets users experiment interactively with prompt engineering and generative AI. ... -
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The Ultimate Python Course
Source code and all the details for the Ultimate Python Course
The Ultimate Python Course is a structured learning repository designed to take programmers from Python fundamentals to more advanced concepts. Its chapters cover modules, package management, variables, data types, strings, collections, conditionals, loops, functions, recursion, and file handling. Later sections introduce object-oriented programming, inheritance, polymorphism, type hints, virtual environments, lambda functions, and functional programming tools. Each chapter is accompanied by... -
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Transformer Explainer
Learn How LLM Transformer Models Work with Interactive Visualization
...Users can observe how attention weights change as the model predicts the next token, offering insight into how transformer architectures capture relationships between words. The design of the platform emphasizes educational accessibility, allowing students, researchers, and developers to explore complex machine learning concepts without requiring specialized hardware or installations.
