Search Results for "language learning" - Page 18
Sort By:
Showing 934 open source projects for "language learning"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
1
Ling-V2
Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI
...Trained on more than 20 trillion tokens of high-quality data and enhanced through multi-stage supervised fine-tuning and reinforcement learning, Ling-V2’s models demonstrate strong general reasoning, mathematical problem-solving, coding understanding, and knowledge-intensive task performance. -
2
Preguntas de entrevista para React
Questions about React for job interviews
Preguntas de entrevista para React is a comprehensive Spanish-language resource containing typical React interview questions organized from beginner to expert level. The repository is not just a list of questions: it includes detailed explanations in Spanish, making it useful as both an interview prep guide and a deeper learning reference.The content is structured in sections (beginner, intermediate, expert), covering everything from “What is React?” -
3
Tunix
A JAX-native LLM Post-Training Library
Tunix is a JAX-native library for post-training large language models, bringing supervised fine-tuning, reinforcement learning–based alignment, and knowledge distillation into one coherent toolkit. It embraces JAX’s strengths—functional programming, jit compilation, and effortless multi-device execution—so experiments scale from a single GPU to pods of TPUs with minimal code changes. The library is organized around modular pipelines for data loading, rollout, optimization, and evaluation, letting practitioners swap components without rewriting the whole stack. ... -
4
ESPnet
End-to-end speech processing toolkit
ESPnet is a comprehensive end-to-end speech processing toolkit covering a wide spectrum of tasks, including automatic speech recognition (ASR), text-to-speech (TTS), speech translation (ST), speech enhancement, speaker diarization, and spoken language understanding. It uses PyTorch as its deep learning engine and adopts a Kaldi-style data processing pipeline for features, data formats, and experimental recipes. This combination allows researchers to leverage modern neural architectures while still benefiting from the robust data preparation practices developed in the speech community. ... -
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.
-
5
Large Concept Model
Language modeling in a sentence representation space
Large Concept Model is a research codebase centered on concept-centric representation learning at scale, aiming to capture shared structure across many categories and modalities. It organizes training around concepts (rather than just raw labels), encouraging models to understand attributes, relations, and compositional structure that transfer across tasks. The repository provides training loops, data tooling, and evaluation routines to learn and probe these concept embeddings, typically... -
6
macroquad
Cross-platform game engine in Rust
macroquad is a lightweight, easy-to-use game library for the Rust programming language, offering developers a relatively simple and streamlined path to build games across platforms. The library is heavily inspired by simpler game frameworks (like raylib), but brings the ergonomic and safety features of Rust to 2D — and some minimal 3D — development. With Macroquad, you don’t need to worry about low-level graphics plumbing: it handles window and input management, rendering, UI, and more,... -
7
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. -
8
go-ast-book
Go Language Customization Guide
Go AST Book is an open-source Chinese technical book about understanding and customizing Go through its abstract syntax tree. It explains how Go source files can be represented as semantically equivalent AST structures. The book focuses on the standard library packages behind this process, especially go/ast and go/token. It shows how tools such as formatting, documentation, parsing, and code analysis are built on top of syntax tree concepts. The repository includes chapter files, appendices,... -
9
Elixir Code Smells
Catalog of Elixir-specific code smells
Elixir-Code-Smells is a research-driven catalog of code smells specific to the Elixir programming language. Unlike generic code smell lists, this project identifies issues emerging from Elixir’s functional, concurrent, and process-based nature. Initially compiled via grey literature (blogs, talks, forums), the catalog now includes 23 Elixir-specific smells plus 12 traditional smells adapted to Elixir. Each entry documents the name, category, problem, example, refactoring strategy, and... -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Interview_Question_for_Beginner
Technical-Interview guidelines written for studying programming
Interview_Question_for_Beginner is a technical-interview study repository created for people beginning careers in software development. It organizes common interview knowledge into structured computer-science, programming-language, and specialization sections. Core topics include data structures, networking, operating systems, databases, design patterns, algorithms, and general development concepts. Language-specific material covers Java, JavaScript, and Python. Separate sections address frontend development, iOS, and machine learning. The repository also collects real interview questions, reverse-interview suggestions for candidates, learning references, and community contributions through issues and pull requests. -
11
DeepPavlov
A library for deep learning end-to-end dialog systems and chatbots
DeepPavlov makes it easy for beginners and experts to create dialogue systems. The best place to start is with user-friendly tutorials. They provide quick and convenient introduction on how to use DeepPavlov with complete, end-to-end examples. No installation needed. Guides explain the concepts and components of DeepPavlov. Follow step-by-step instructions to install, configure and extend DeepPavlov framework for your use case. DeepPavlov is an open-source framework for chatbots and virtual... -
12
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. ... -
13
PaddleOCR-json
OCR offline image text recognition command line windows program
...It wraps the PaddleOCR models, which are capable of detecting and recognizing text in a wide variety of languages and layouts, into a self-contained executable that can be run locally without needing a deep learning environment configured manually. This makes it practical for developers or system integrators who want reliable OCR output in JSON while avoiding the complexity of training or managing models by hand. Projects and wrappers built around PaddleOCR-json demonstrate how it can be integrated into other applications, such as desktop OCR utilities or language-specific bindings, because the JSON output is easy to parse and consume. -
14
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. -
15
The Grand Complete Data Science Guide
Data Science Guide With Videos And Materials
The Grand Complete Data Science Materials is a repository curated by a data-science educator that aggregates a wide range of learning resources — from basic programming and math foundation to advanced topics in machine learning, deep learning, natural language processing, computer vision, and deployment practices — into a structured, centralized collection aimed at learners seeking a comprehensive path to data science mastery. The repository bundles tutorials, lecture notes, project outlines, course materials, and references across topics like Python, statistics, ML algorithms, deep learning, NLP, data preprocessing, model evaluation, and real-world problem solving. ... -
16
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. -
17
Servant
Haskell DSL for describing, serving, querying, mocking web apps
Servant provides a type-level domain-specific language (DSL) in Haskell for describing web APIs. From a single API specification, developers can derive server implementations, client libraries, documentation, and more—ensuring consistency and type safety across the stack. We have a tutorial that introduces the core features of servant. After this article, you should be able to write your first server web services, learning the rest from the haddocks' examples. -
18
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 -
19
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. ...
-
20
Bolt NLP
Bolt is a deep learning library with high performance
Bolt is a high-performance deep learning inference framework developed by Huawei Noah's Ark Lab. It is designed to optimize and accelerate the deployment of deep learning models across various hardware platforms. Bolt is a light-weight library for deep learning. Bolt, as a universal deployment tool for all kinds of neural networks, aims to automate the deployment pipeline and achieve extreme acceleration. Bolt has been widely deployed and used in many departments of HUAWEI company, such as... -
21
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. -
22
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. -
23
Klavaro Touch Typing Tutor
A very efficient tutor.
A touch typing tutor very flexible, supporting customizable keyboard layouts. You can edit and save new or unknown keyboard layouts, as the basic course was designed to not depend on specific ones. Also, there are some charts about the learning process. -
24
QSMM
An adaptive state model development framework.
...To achieve the goals, the library supports specifying model behavior in algorithmic form by the means of nondeterministic programs adapting their own execution according to the reinforcement learning approach. An assembler language for developing the programs includes deterministic jump instructions for imposing constraints on model behavior and nondeterministic jump instructions with automatically adjusted probabilities for allowing variations in the behavior. A proposed higher-level abstraction of model operation is adaptive parsing according to a template grammar. ... -
25
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
