Search Results for "learning language" - Page 5
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Showing 167 open source projects for "learning language"
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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... -
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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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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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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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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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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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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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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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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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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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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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PRMLT
Matlab code of machine learning algorithms in book PRML
This Matlab package implements machine learning algorithms described in the great textbook: Pattern Recognition and Machine Learning by C. Bishop (PRML). It is written purely in Matlab language. It is self-contained. There is no external dependency. This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
PyTorch-NLP is a library for Natural Language Processing (NLP) in Python. It’s built with the very latest research in mind, and was designed from day one to support rapid prototyping. PyTorch-NLP comes with pre-trained embeddings, samplers, dataset loaders, metrics, neural network modules and text encoders. It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. For example, check out... -
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Browser diet
The definitive front-end performance guide
Browser diet is a community-driven front-end performance guide presented as a fun, colorful website that explains how to make web pages faster and “lighter.” It collects advice from experienced front-end developers and organizes it into practical sections covering HTML, CSS, JavaScript, images, server configuration, and general best practices. The project was built as a static site powered by DocPad, with content written in Markdown and translated into multiple languages, making it... -
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X11workbench
X11 developer's 'workbench' and lightweight toolkit API
(preliminary) X11 developer's 'workbench' application using a lightweight statically linked custom toolkit that is intended to be used by X11 applications built with the X11 Workbench. The primary goal of the toolkit is ease of use (short learning curve), lightweight self-contained executables, UI speed, cross platform compatibility, and minimal dependencies. The primary goal of the workbench is to provide an editor on X11 platforms that integrates development, provides rapid development... -
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TensorFlow Haskell
Haskell bindings for TensorFlow
The tensorflow-haskell package provides Haskell-language bindings for TensorFlow, giving Haskell developers the ability to build and run computation graphs, machine learning models, and leverage TensorFlow's ecosystem—though it is not an official Google release. As an expedient we use docker for building. Once you have docker working, the following commands will compile and run the tests. -
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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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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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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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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. ...
