Search Results for "learning language" - Page 28
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Showing 1020 open source projects for "learning language"
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lgo
Interactive Go programming with Jupyter
lgo is an open-source programming environment that enables interactive Go programming within Jupyter Notebook environments. The project provides a Jupyter kernel for the Go programming language, allowing developers to write and execute Go code interactively in notebook cells similar to how Python is used in data science workflows. This environment combines the strong performance and concurrency features of the Go language with the exploratory and iterative style of notebook-based... -
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Replica Dataset
High-fidelity indoor 3D dataset for AI simulation and robotics
Replica Dataset is a high-quality 3D dataset of realistic indoor environments designed to advance research in computer vision, robotics, and embodied AI. Developed by Facebook Research (now Meta AI), it features accurate geometric reconstructions, high-resolution and high dynamic range textures, and comprehensive semantic annotations. Each environment contains detailed models of real-world spaces, including rooms, furniture, glass, and mirror surfaces. The dataset also provides semantic and... -
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Unwrap
Learn Swift interactively on your iPhone
...Created as a companion to educational content, it focuses on teaching fundamental and advanced concepts in a hands-on manner. The app presents exercises that require users to write and refine Swift code, reinforcing understanding through practice rather than passive learning. It covers a wide range of topics, including syntax, control flow, optionals, and more advanced language features. The interface is designed to be approachable and engaging, encouraging consistent learning through bite-sized challenges. Unwrap also tracks progress, allowing users to see their improvement over time and stay motivated. ... -
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TEXT2DATA
Text Analytics Platform
Bring Text Analytics Platform that uses NLP (Natural Language Processing) and Machine Learning to your work environment. Extract essential information from your text documents and let Artificial Intelligence save your time. Get detailed and agile reports on your unstructured data. -
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3D Game Shaders for Beginners
A step-by-step guide to implementing SSAO for 3D games
...I've explained each technique in such a way that you can take what you learn here and apply/port it to whatever stack you use—be it Godot, Unity, Unreal, or something else. For the glue in between the shaders, I've chosen the fabulous Panda3D game engine and the OpenGL Shading Language (GLSL). So if that is your stack, then you'll also get the benefit of learning how to use these shading techniques with Panda3D and OpenGL specifically. -
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NeuroNER
Named-entity recognition using neural networks
...Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems. They can also be used as features for machine learning systems for other natural language processing tasks. Leverages the state-of-the-art prediction capabilities of neural networks (a.k.a. "deep learning") Is cross-platform, open source, freely available, and straightforward to use. Enables the users to create or modify annotations for a new or existing corpus. Train the neural network that performs the NER. ... -
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lazynlp
Library to scrape and clean web pages to create massive datasets
LazyNLP is a lightweight tool for collecting and curating large-scale text datasets for machine learning and NLP applications with minimal manual effort. -
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A Programmer's Guide to English
English study guide v1.2 written specifically for programmers
...If you are looking for materials such as "Mastering English in 21 Days", "Memorizing 1000 Words in 10 Days", and "Getting English Writing in 10 Days", this guide is not for you. Especially for language learning, the learning cycle is measured in months or years. The sooner you understand that language learning has no skills, the less time and money will be wasted on various materials and experiences, and the fewer detours you will make. This guide will dig deep into the essence of language learning (mainly in Chinese for example) and think in a way that programmers can understand easily, and provide their own deductions based on the essence. ... -
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Pipelines
An experimental programming language for data flow
Pipelines is a language and runtime for crafting massively parallel pipelines. Unlike other languages for defining data flow, the Pipeline language requires the implementation of components to be defined separately in the Python scripting language. This allows the details of implementations to be separated from the structure of the pipeline while providing access to thousands of active libraries for machine learning, data analysis, and processing. -
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Vocabulary Workout
Software for learning new words of any language
This software is for learning by heart new words or phrases of any language. You can create your own databases with words that are important for you. A number of languages and word are unlimited. There are three ways to edit database: Notepad, Excel and special inbuilt Editor. If the Randomize option is turned on, words will appear more frequently if you make mistakes. -
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KAREL 3D WebGL
Children's learning programming language Karel the Robot in 3D
KAREL 3D written in JavaScript with WebGL is a children's programming language for teaching algorithms. This is later variant from Karel the Robot in 3D, created in 1986 for 8bit microcomputer PMD 85-2. Support full recursion, create new commands, complex commands with condition from dialog and direct control with keys, language translation. Objects: brick, wall, mark, fence. Check out the Wiki (here) for more examples and pictures. Include ZIP with original historical... -
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EBCS for Feature Selection
Enhanced Binary Cuckoo Search with Frequent Values and RST (EBCS)
This Filter Feature Selection approach (EBCS) with other tasks developed by PHP Programing language. Initial parameters for EBCS and FS-BCS as follows: Maximum number of iteration is 20. Population size is 20. Probability (P) is 0.25. Alpha is 0.1. After Downloading and copying the EBCS directory to directory root, and request the EBCS/index.php page to show home page which contains the following tasks: 1. The new Approach: EBCS. 2. The baseline approach: FS-BCS. 3.... -
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Arabic Corpus
Text categorization, arabic language processing, language modeling
The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references: (1) For Watan-2004 corpus ---------------------- M. Abbas, K. Smaili, D. Berkani, (2011) Evaluation of Topic Identification Methods on... -
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DiagramaBarra
Graphical interface to create and simulate OpenDSS projects
C# graphical interface for power distribution simulation. Based on OpenDSSDirect library. Project founded by UDESC to improve education and learning. -
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Translation Funtime is a software designed to help translators have a fun time while translating. It can also be used to do bidirectional translations, which is a traditional language learning technique going back to the middle ages and beyond. FEATURES - Dictionaries for French, Russian, Arabic, Sanskrit, Japanese (more coming in future releases) - Fun tools not featured in other translation software - Recycle button to facilitate bidirectional translations This is an ALPHA release. There are some bugs.
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Deepvoice3_pytorch
PyTorch implementation of convolutional neural networks
An open source implementation of Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. -
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CFD Python
Sequence of Jupyter notebooks featuring the 12 Steps to Navier-Stokes
CFD Python, a.k.a. the 12 steps to Navier-Stokes, is a practical module for learning the foundations of Computational Fluid Dynamics (CFD) by coding solutions to the basic partial differential equations that describe the physics of fluid flow. The module was part of a course taught by Prof. Lorena Barba between 2009 and 2013 in the Mechanical Engineering department at Boston University (Prof. Barba since moved to George Washington University). -
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Robi Robot is a collection of small learning games for children and adults Everybody is allowed to add its own game programed in C#. At the moment, two languages are supported: Swiss German and English, but the multi-language support is prepared.
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NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities. -
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CRP - Chemical Reaction Prediction
Predicting Organic Reactions using Neural Networks.
The intend is to solve the forward-reaction prediction problem, where the reactants are known and the interest is in generating the reaction products using Deep learning. This Graphical User Interface takes simplified molecular-input line-entry system (SMILES) as an input and generates the product SMILE & molecule. Beam search is used in Version 2, to generate top 5 predictions. Maximum input length for the model is 15 (excluding spaces). -
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KAREL 3D
Learning programming language for kids
This is learning programming language for children Karel-3D. By words from LightBot: "Get kids hooked on coding with minutes!" Created by Karel 3D from the 8-bit microcomputer PMD 85-2 in 1986. His later version of Karel the Robot in 3D, created first in the Slovak Republic. JavaScript variant include only one small HTML file tested and works on all devices with keyboard and full JavaScript support in internet browser, or alternative pre-compiled JAVA V8 .jar file with webEngine and JavaFX and code in string. ... -
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unfluff
Automatically extract body content (and other cool stuff) from HTML
unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. The repository notes some limitations (e.g., languages like Chinese/Arabic/Korean may not be well-supported). ... -
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cnn-text-classification-tf
Convolutional Neural Network for Text Classification in Tensorflow
...By breaking down the model into understandable components, it serves as a practical reference for students and practitioners learning how deep learning models handle text beyond traditional bag-of-words approaches. -
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Cog
Bringing the power of the command line to chat
Cog brings the power of the command line to the place you collaborate with your team all the time, your chat window. Powerful access control means you can collaborate around even the most sensitive tasks with confidence. A focus on extensibility and adaptability means that you can respond quickly to the unexpected, without your team losing visibility. Use Cog to manage your infrastructure, support peer learning, and conduct collaborative research at the same time, right from chat. Cog is... -
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anaGo
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition
anaGo is a Python library for sequence labeling(NER, PoS Tagging,...), implemented in Keras. anaGo can solve sequence labeling tasks such as named entity recognition (NER), part-of-speech tagging (POS tagging), semantic role labeling (SRL) and so on. Unlike traditional sequence labeling solver, anaGo doesn't need to define any language-dependent features. Thus, we can easily use anaGo for any language. In anaGo, the simplest type of model is the Sequence model. Sequence model includes...
