Search Results for "learning language" - Page 26

Showing 1020 open source projects for "learning language"

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  • 1
    NLP Architect

    NLP Architect

    A model library for exploring state-of-the-art deep learning

    NLP Architect is an open-source Python library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing and Natural Language Understanding neural networks. The library includes our past and ongoing NLP research and development efforts as part of Intel AI Lab. NLP Architect is designed to be flexible for adding new models, neural network components, data handling methods, and for easy training and running models. ...
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  • 2
    chibicc

    chibicc

    A small C compiler

    chibicc is a small yet highly capable C compiler designed to implement most features of the C11 standard while maintaining a clean and educational codebase. It is intended as both a functional compiler and a learning resource, allowing developers to understand how compilers work by reading and studying its implementation. Despite being categorized as a “toy” compiler, it is powerful enough to compile real-world programs such as Git, SQLite, and libpng without modification. The project is...
    Downloads: 1 This Week
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  • 3
    Mega Project List

    Mega Project List

    List of practical projects that anyone can solve in any prog language

    Mega Project List by Karan Goel is a massive list of practical programming project ideas that anyone can solve in any programming language, organized into logical categories (Numbers, Classic Algorithms, Data Structures, Text, Networking, Web, Files, Graphics & Multimedia, Security, etc.). The concept is simple but powerful: instead of just memorizing algorithms, you pick a project (for example “Binary to Decimal and Back Converter”), implement it in your favorite language, and gradually...
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  • 4
    Dev-C++ for Windows 10/8/7

    Dev-C++ for Windows 10/8/7

    A fast, portable, simple, and free C/C++ IDE

    Coding Boot Camp Learning to program? Check out the free boot camp from Embarcadero which runs from Monday, August 22nd to Friday, August 26th. https://learndelphi.org/boot-camp-2022/ Embarcadero Dev-C++ is a new and improved fork (sponsored by Embarcadero) of Bloodshed Dev-C++ and Orwell Dev-C++. It is a full-featured Integrated Development Environment (IDE) and code editor for the C/C++ programming language.
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    Downloads: 2,702 This Week
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  • 5
    fastNLP

    fastNLP

    fastNLP: A Modularized and Extensible NLP Framework

    fastNLP is a lightweight framework for natural language processing (NLP), the goal is to quickly implement NLP tasks and build complex models. A unified Tabular data container simplifies the data preprocessing process. Built-in Loader and Pipe for multiple datasets, eliminating the need for preprocessing code. Various convenient NLP tools, such as Embedding loading (including ELMo and BERT), intermediate data cache, etc.. Provide a variety of neural network components and recurrence models...
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  • 6
    English2Cards

    English2Cards

    English Learning software

    English2Cards is a smart English learning program designed to improve your listening & speaking skills without Internet connection using great learning files. The program repeatedly reviews the educational cards at different times so that you can remember the new words and phrases that you have learned and be able to use them in real conversations easily and without thinking. During learning you can remember the words in the text and also get the translation, pronunciation and examples of...
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  • 7
    CommAI-env

    CommAI-env

    A platform for developing AI systems

    ...The environment supports a wide variety of tasks — from simple pattern recognition and string manipulation to compositional language learning and reasoning.
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  • 8
    jsoncat

    jsoncat

    Lightweight HTTP framework built in Java

    jsoncat is a lightweight HTTP framework built in Java (using Netty) that aims to replicate some of the feel of Spring Boot—but in a minimal, educational style focused on clarity rather than full enterprise complexity. The project is organized as a small library and tutorial-style codebase, where core HTTP handling, routing, and JSON processing are exposed in a compact way so learners can trace how HTTP requests are parsed and dispatched. Because it avoids heavy abstractions and auto-magical...
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  • 9
    8cc C Compiler

    8cc C Compiler

    Compiler for the C programming language

    8cc C Compiler is a small and educational C compiler designed to support the C11 standard while maintaining a compact and easy-to-understand codebase. It was created as a hobby project with the goal of demonstrating how a compiler works internally, making it a valuable resource for learning compiler design. The project includes core components such as a lexer, parser, and preprocessor, allowing users to explore each stage of the compilation process. One of its notable features is its ability...
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  • 10
    Multilingual Speech Synthesis

    Multilingual Speech Synthesis

    An implementation of Tacotron 2 that supports multilingual experiments

    This repository provides synthesized samples, training and evaluation data, source code, and parameters for the paper One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech. It contains an implementation of Tacotron 2 that supports multilingual experiments and that implements different approaches to encoder parameter sharing. It presents a model combining ideas from Learning to speak fluently in a foreign language: Multilingual speech synthesis and cross-language voice cloning, End-to-End Code-Switched TTS with Mix of Monolingual Recordings, and Contextual Parameter Generation for Universal Neural Machine Translation. ...
    Downloads: 0 This Week
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  • 11
    NLP-Models-Tensorflow

    NLP-Models-Tensorflow

    Gathers machine learning and Tensorflow deep learning models for NLP

    NLP-Models-Tensorflow is a collection of natural language processing model implementations built using the TensorFlow deep learning framework. The repository provides numerous examples of neural network architectures used in modern NLP research and applications, including text classification, language modeling, machine translation, and sentiment analysis. Each model implementation is designed to illustrate how common NLP architectures operate, such as recurrent neural networks, convolutional models for text processing, and transformer-style attention mechanisms. ...
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  • 12
    GluonNLP

    GluonNLP

    NLP made easy

    GluonNLP is a toolkit that helps you solve NLP problems. It provides easy-to-use tools that helps you load the text data, process the text data, and train models. To facilitate both the engineers and researchers, we provide command-line-toolkits for downloading and processing the NLP datasets. Gluon NLP makes it easy to evaluate and train word embeddings. Here are examples to evaluate the pre-trained embeddings included in the Gluon NLP toolkit as well as example scripts for training...
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  • 13
    Delta ML

    Delta ML

    Deep learning based natural language and speech processing platform

    DELTA is a deep learning-based end-to-end natural language and speech processing platform. DELTA aims to provide easy and fast experiences for using, deploying, and developing natural language processing and speech models for both academia and industry use cases. DELTA is mainly implemented using TensorFlow and Python 3. DELTA has been used for developing several state-of-the-art algorithms for publications and delivering real production to serve millions of users. ...
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  • 14

    Chastity Checkerboard

    Drawing Checkerboards with the C Programming Language

    There are multple files in this project and they contain my very best code that has been improved slowly for over a decade as I've found the time to work on my programming. By combining my experience with the C programming language and learning to use the SDL library starting in 2019, I managed to get a checkerboard on my computer screen. Since then I slowly removed all SDL dependent code and have learned to write the bytes of image file formats such as PBM,BMP, and even TIFF! I also invented my own image format which will be part of it's own project soon. ...
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  • 15

    SDL polygon demos

    Small examples of shapes I have drawn with SDL and extensions.

    This is a collection of source files containing many functions I've written for small animations using SDL and the C programming language. I started learning to use SDL for basic graphics programs. One of my first goals was trying to figure out how to draw regular polygons. However there is no built in way to do such things. By combining the base SDL library with SDL_gfx, I was able to draw filled polygons the way that I like. However the code required to get the X and Y coordinates of each corner of the polygon was written by me. ...
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  • 16
    PSKoans

    PSKoans

    A simple, fun, and interactive way to learn the PowerShell language

    PSKoans is an interactive, educational PowerShell module that teaches core PowerShell concepts via Pester test-driven “koans” (small exercises that initially fail and must be fixed). Designed for beginners to learn PowerShell through hands‑on problem solving, it guides users through basic syntax, data structures, and automation tasks.
    Downloads: 0 This Week
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  • 17
    PyText

    PyText

    A natural language modeling framework based on PyTorch

    PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly...
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  • 18
    End-to-End Negotiator

    End-to-End Negotiator

    Deal or No Deal? End-to-End Learning for Negotiation Dialogues

    ...The framework provides code for both supervised learning (training from human dialogue data) and reinforcement learning (via self-play and rollout-based planning). It introduces a hierarchical latent model, where high-level intents are first clustered and then translated into coherent language, improving dialogue diversity and goal consistency. The repository also includes the Negotiate dataset, comprising over 5,800 dialogues across 2,200 unique scenarios.
    Downloads: 1 This Week
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  • 19
    DeepLearning

    DeepLearning

    Deep Learning (Flower Book) mathematical derivation

    " Deep Learning " is the only comprehensive book in the field of deep learning. The full name is also called the Deep Learning AI Bible (Deep Learning) . It is edited by three world-renowned experts, Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Includes linear algebra, probability theory, information theory, numerical optimization, and related content in machine learning.
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  • 20
    Flutter Example Apps

    Flutter Example Apps

    Basic Flutter apps, for flutter devs

    ...This repository is frequently starred and forked by developers because it provides a broad, hands-on showcase of how different features of the Flutter framework and Dart language are used in practice. Each example typically links to online resources or videos that walk through how the app was built, making it both a reference collection and a learning tool for beginners and intermediates alike.
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  • 21
    Smart Algorithm

    Smart Algorithm

    Repository implementing a variety of intelligent algorithms

    ...The implementations are provided in multiple languages (Java, Python, MATLAB). The repository’s aim is to offer reference implementations of “smart” algorithms for tasks like route planning, optimization, or algorithm learning. Particle Swarm Optimization (PSO) implementations in multiple languages. Immune Algorithm (or immune-inspired optimization) implementations. Multiple versions/language compatibility (Java, Python, MATLAB).
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  • 22
    NLP Best Practices

    NLP Best Practices

    Natural Language Processing Best Practices & Examples

    In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions. In the last few years, researchers have been applying newer deep learning methods to NLP. Data scientists started moving from traditional methods to state-of-the-art (SOTA) deep neural network (DNN) algorithms which use language models pretrained on large text corpora.
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  • 23
    Judge0 IDE

    Judge0 IDE

    Simple, free and open-source online code editor

    ...It's perfect for anybody who just wants to quickly write and run some code without opening a full-featured IDE on their computer. Moreover, it is also useful for teaching and learning or just trying out a new language.
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  • 24
    fastText

    fastText

    Library for fast text classification and representation

    ...The goal of text classification is to assign documents (such as emails, posts, text messages, product reviews, etc...) to one or multiple categories. Such categories can be review scores, spam v.s. non-spam, or the language in which the document was typed. Nowadays, the dominant approach to build such classifiers is machine learning, that is learning classification rules from examples. In order to build such classifiers, we need labeled data, which consists of documents and their corresponding categories (or tags, or labels).
    Downloads: 1 This Week
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  • 25
    JS Bits

    JS Bits

    JavaScript concepts with code

    JS Bits is an open-source collection of JavaScript concepts explained through concise code examples and clear explanations that serve as a practical learning resource for both beginners and experienced developers. It breaks down essential parts of the language — such as core syntax, quirky behaviors, functions, scope, closures, asynchronous patterns, and commonly misunderstood features — into digestible pieces that make it easier to internalize how JavaScript really works in modern development. ...
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