Search Results for "language learning" - Page 6
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Showing 175 open source projects for "language 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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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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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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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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Keras resources
Directory of tutorials and open-source code repositories
Keras resources is a curated directory of tutorials, projects, and educational materials designed to help developers learn and work effectively with the Keras deep learning library. It aggregates a wide range of resources, including beginner guides, advanced tutorials, code examples, and third-party tools, all organized into a single reference hub. The repository covers diverse topics such as image classification, natural language processing, reinforcement learning, and generative models, providing both theoretical and practical insights. ... -
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Edward
A probabilistic programming language in TensorFlow
A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It... -
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Deeplearning-papernotes
Summaries and notes on Deep Learning research papers
Deeplearning-papernotes is an implementation of Convolutional Neural Networks for sentence and text classification in TensorFlow, based on a well-known research paper that applies CNN architectures to natural language processing tasks with strong performance in sentiment analysis and similar classification problems. The repository provides the complete network definition, including an embedding layer to convert words into dense representations, convolution and max-pooling layers to extract... -
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DataScienceR
a curated list of R tutorials for Data Science, NLP
The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting, and reproducible workflows. ... -
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Ezhil-Lang
தமிழில் கணினி மொழி
எழில் - ஒரு தமிழ் நிரலாக்க மொழி; தமிழ் மாணவர்களுக்கு இது முதல்முறை கணி Ezhil is a Tamil script based programming language for children and teens in the K-12 grade schools. Ezhil enables learning imperative programming like BASIC or LOGO in Tamil language. -
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ArnoldC
Arnold Schwarzenegger based programming language
ArnoldC is a programming language built as a joke language, where the entire syntax is based on quotes from Arnold Schwarzenegger movies. Instead of conventional keywords and operators, it uses memorable movie lines to represent programming constructs like conditionals, loops, and functions. For example, “IT’S SHOWTIME” starts the main method, “TALK TO THE HAND” represents output, and “I’LL BE BACK” denotes a return statement. While humorous in nature, the language is fully functional and... -
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Projects-Solutions
Links to others' solutions to Projects
Projects-Solutions is a companion repository to Projects; while Projects contains the list of project ideas, Projects-Solutions links to solutions submitted by other users in multiple programming languages. It is effectively a community-driven gallery of implementations of the tasks defined in the “Projects” list, allowing learners to compare their solutions, study others’ code, and improve their approach. The repository aggregates links and resources rather than necessarily hosting all code... -
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node2vec
Learn continuous vector embeddings for nodes in a graph using biased R
The node2vec project provides an implementation of the node2vec algorithm, a scalable feature learning method for networks. The algorithm is designed to learn continuous vector representations of nodes in a graph by simulating biased random walks and applying skip-gram models from natural language processing. These embeddings capture community structure as well as structural equivalence, enabling machine learning on graphs for tasks such as classification, clustering, and link prediction. ... -
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Go Programming Blueprints
Source code for Go Programming Blueprints
...It includes materials for different editions of the book, making it useful for readers depending on the version they own. The code emphasizes building real applications rather than only learning isolated syntax. It is especially useful for Go learners who want project-based examples that connect language features with complete software designs. -
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JCLTP
A Java Class Library for Text Processing
JCLTP is a class library designed for processing text. JCLTP is free, open source and developed with the Java programming language. JCLTP is distributed under the GNU license. It incorporates several technologies that enable process information while applying AI techniques, in order to build predictive models for text classification. Through a flexible structure of interfaces and classes, the opportunity to extend, adapt and add functionality JCLTP is provided. Thus, analysis of new types... -
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ECMAScript 6
Overview of ECMAScript 6 features
...Its main value is condensing a major language update into readable examples that are easy to browse. -
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char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN)
...The project is designed for experimentation, offering tunable settings for depth, hidden size, dropout, sequence length, and sampling temperature to control creativity and coherence. It is frequently used as a learning project for understanding sequence modeling, recurrent training dynamics, and the practical details of text generation. -
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Laravel Hackathon Starter
Boilerplate for laravel web applications
If you have attended any hackathons in the past, then you know how much time it takes to get a project started: decide on what to build, pick a programming language, pick a web framework, pick a CSS framework. A while later, you might have an initial project up on GitHub and only then can other team members start contributing. Or how about doing something as simple as Sign in with Facebook authentication? You can spend hours on it if you are not familiar with how OAuth 2.0 works. Even if you are not using this for a hackathon, Laravel Hackathon Starter is sure to save any developer hours or even days of development time and can serve as a learning guide for web developers. ... -
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DotNetWikiBot Framework
Make robots for MediaWiki-powered sites!
The DotNetWikiBot Framework was developed so that it can offer a helping hand with many complicated and routine tasks of wiki site development and maintenance. DotNetWikiBot Framework is a cross-platform full-featured client API, that allows you to build programs and web robots easily to manage information on MediaWiki-powered sites. DotNetWikiBot Framework can also be used for learning C# and .NET. -
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Awesome Recurrent Neural Networks
A curated list of resources dedicated to RNN
...Codes, theory, applications, and datasets about natural language processing, robotics, computer vision, and much more. -
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JCLALwebservice
Web service for JCLAL
This work is part of the area of Artificial Intelligence, in particular in the field of machine learning. The web service is built to facilitate the use of JCLAL in applications developed in any programming language. Users should know only the basic format to send and receive requests. -
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JCLALtext
Text processing module for JCLAL
JCLALtext is a class library designed to extend the framework JCLAL text tasks. JCLALtext is free, open source and developed with the Java programming language. JCLALtext is distributed under the GNU license. The researcher can use the class library by adding it to your project. -
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CLUE - C Learning Undergrad Environment
Tools to support the learning of the C programming language
CLUE (C Learning Undergraduate Environment) is a software allowing students to work on assignments in the C language while benefiting from support for peer testing, hyper-linked tutorials to help them understand compiler error messages, detection of "novice errors" with warnings hyper-linked to tutorials. Sponsored by National Science Foundation under award CCLI #0836863. -
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kuzya
Simple crossplatform IDE for people who study programming
Kuzya is simple crossplatform IDE for people who study programming. Main idea of it is to concentrate attention of the users only on learning the programming language but not on usage of IDE. -
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neural network designer
a dbms for neural nets. Chatbots, DTrees, random forests, n-grams,...
This project consists out of a windows based designer application and a library (that can run on multiple platforms, including android) together with several demo applications (including an MVC3 chatbot client and an android application). It is probably best compared to a database management system, but for neural networks instead of relational data. As such, the library is optimized for handling any type of data-size by using advanced streaming and caching algorithms. With the designer,...
