Search Results for "c language learning" - Page 49
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Showing 4633 open source projects for "c language learning"
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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.
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towhee
Framework that is dedicated to making neural data processing
Towhee is an open-source machine-learning pipeline that helps you encode your unstructured data into embeddings. You can use our Python API to build a prototype of your pipeline and use Towhee to automatically optimize it for production-ready environments. From images to text to 3D molecular structures, Towhee supports data transformation for nearly 20 different unstructured data modalities. We provide end-to-end pipeline optimizations, covering everything from data decoding/encoding, to... -
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Image To Text tools
ITTT is a Free tool designed to Scan and extract Text from Images.
Image To Text Tools is a 100% Free user-friendly tool designed to Scan and extract containing text in images into editable text formats. Whether you need to extract text from scanned documents, photographs, or other image files, Image To Text Tools provides accurate and reliable Optical Character Recognition (OCR) capabilities to meet your needs. -
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Darklings FightingGame
DARKLINGS is an accessible F2P 2D fighting game with periodic updates
Darklings Fighting Game is a 2D fighting game prototype built in Godot Engine, featuring stylized characters, hitboxes, and responsive controls. It serves as a base or learning tool for developers interested in building their own fighting games with modular character systems and mechanics. -
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Chess Coding Challenge
Create your own tiny chess bot
Chess Challenge is a programming competition framework that invites developers to create compact and efficient chess engines within strict constraints. The project provides a simplified chess environment and ruleset, enabling participants to focus on implementing decision-making logic rather than building a full engine from scratch. It is designed to encourage creativity and optimization, often limiting code size or execution time to push developers toward innovative solutions. Participants... -
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spaGO
Self-contained Machine Learning and Natural Language Processing lib
A Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. Spago is self-contained, in that it uses its own lightweight computational graph both for training and inference, easy to understand from start to finish. The core module of Spago relies only on testify for unit testing. -
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...How use this pali dictionary database in ***iPhone/Mac : a. to App Store to download 'Eudic' dict b. download mdx file in here. c. import mdx to 'Eudic'.
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Algorithm Visualizer
Interactive Online Platform that Visualizes Algorithms from Code
...The README explains each example, lists required environment variables or credentials (e.g., Twilio/Gmail where applicable), and gives cron examples so readers can run the scripts in a real environment. The project is intentionally informal and educational: it’s meant for experimentation, learning language-interop, and having fun rather than production-grade automation. Many implementations exist across languages (shell, Ruby, Python, Node, PowerShell, Go, Java, and more) and contributors are encouraged to add further -
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TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing models
...Since the APIs are kept as similar as possible you can immediately adapt any existing TensorFlow code in C# or F# with a zero learning curve. Take a look at a comparison picture and see how comfortably a TensorFlow/Python script translates into a C# program with TensorFlow.NET. -
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EvaDB
Database system for building simpler and faster AI-powered application
Over the last decade, AI models have radically changed the world of natural language processing and computer vision. They are accurate on various tasks ranging from question answering to object tracking in videos. To use an AI model, the user needs to program against multiple low-level libraries, like PyTorch, Hugging Face, Open AI, etc. This tedious process often leads to a complex AI app that glues together these libraries to accomplish the given task. -
AI-generated apps that pass security reviewRetool lets you generate dashboards, admin panels, and workflows directly on your data. Type something like “Build me a revenue dashboard on my Stripe data” and get a working app with security, permissions, and compliance built in from day one. Whether on our cloud or self-hosted, create the internal software your team needs without compromising enterprise standards or control.
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pipeless
A computer vision framework to create and deploy apps in minutes
Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new... -
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Bayesian Julia
Bayesian Statistics using Julia and Turing
Bayesian statistics is an approach to inferential statistics based on Bayes' theorem, where available knowledge about parameters in a statistical model is updated with the information in observed data. The background knowledge is expressed as a prior distribution and combined with observational data in the form of a likelihood function to determine the posterior distribution. The posterior can also be used for making predictions about future events. Bayesian statistics is a departure from... -
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TensorFlow Addons
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
TensorFlow Addons is a repository of contributions that conform to well-established API patterns but implement new functionality not available in core TensorFlow. TensorFlow natively supports a large number of operators, layers, metrics, losses, and optimizers. However, in a fast-moving field like ML, there are many interesting new developments that cannot be integrated into core TensorFlow (because their broad applicability is not yet clear, or it is mostly used by a smaller subset of the... -
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Complete Machine Learning Package
A comprehensive machine learning repository containing 30+ notebooks
Complete Machine Learning Package repository is a comprehensive educational collection of machine learning notebooks designed to teach core data science and AI concepts through practical coding examples. The project includes more than thirty notebooks that cover a wide range of topics including data analysis, statistical modeling, neural networks, and deep learning. -
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Llama 2 Everywhere (L2E)
Llama 2 Everywhere (L2E)
Llama 2 Everywhere (L2E) is an open-source implementation of the LLaMA-2 large language model architecture designed to demonstrate how transformer-based language models can be executed with extremely minimal code. The project focuses on simplicity and educational clarity by implementing inference for LLaMA-style models in a compact C program rather than relying on large machine learning frameworks. Developers can train models using a Python training pipeline and then run inference using a lightweight C implementation that requires very few dependencies. ... -
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Faum
Fast Autonomous Unsupervised Multidimiensional Classification
This is the proof-of-concept implementation of the FAUM Clustering method. This implementation was used to perform the published results and is now released in the hope that it will be useful. -
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Smallchat
A minimal programming example for a chat server
...It uses the simplest assumptions (for example: clients connect via telnet or netcat, line-based I/O) and keeps the message logic straightforward: each received line from one client is broadcast to all others (fan-out). The focus is not on robustness, feature richness or production readiness, but on learning how to write a non-trivial C program, handling sockets, multiplexed input (select/poll), client state, and basic formatting. -
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aria2
aria2 is a lightweight multi-protocol & multi-source download utility
aria2 is a lightweight multi-protocol & multi-source command-line download utility. It supports HTTP/HTTPS, FTP, SFTP, BitTorrent and Metalink. aria2 can be manipulated via built-in JSON-RPC and XML-RPC interfaces. aria2 can download a file from multiple sources/protocols and tries to utilize your maximum download bandwidth. Really speeds up your download experience. aria2 doesn’t require much memory and CPU time. When disk cache is off, the physical memory usage is typically 4MiB (normal... -
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YiYiYa
YiYiYa
YiYiYa is a minimalist, Chinese-language desktop operating system with a custom graphical interface, designed for simplicity and education. Built primarily with C/C++, it includes its own kernel and GUI layer, featuring basic OS utilities such as file management, terminal, and user interface components. YiYiYa is bootable and self-contained, allowing users to experience a lightweight graphical OS that blends low-level programming with creative UI design, primarily targeting Chinese-speaking developers and learners. -
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Intellij rainbow brackets
Rainbow Brackets for IntelliJ based IDEs/Android Studio/HUAWEI DevEco
...Supports Java, Scala, Clojure, Kotlin, Python, Haskell, Agda, Rust, JavaScript, TypeScript, Erlang, Go, Groovy, Ruby, Elixir, ObjectiveC, PHP, HTML, XML, SQL, Apex language, C#, Dart, Pug/Jade, Bash, Vue.js, C# Razor Pages, GLSL(the OpenGL Shading Language), Go Template, C++, C, etc. Eliminate context switching and costly distractions. Create and merge PRs and perform code reviews from inside your IDE while using jump-to-definition, your keybindings, and other IDE favorites. If you didn't like the built-in colors, or want some new color but don't want to try out and pick colors. ... -
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WebArena
Code repo for "WebArena to build Autonomous Agents
WebArena is a realistic web environment designed for building and testing autonomous agents, providing a platform for developing web-based AI agents. -
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Onix OS
Onix
onix is a minimalist educational operating system written in Rust, created to demonstrate low-level system design in a safe and modern language. It covers kernel essentials such as interrupts, memory management, and multitasking, and includes a tiny Unix-like shell for user interaction. onix is tailored for x86_64 systems and runs in QEMU, making it ideal for learning OS internals while benefiting from Rust’s type safety and concurrency guarantees. It’s a great project for students or Rustaceans interested in systems programming. -
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ReplitLM
Inference code and configs for the ReplitLM model family
ReplitLM is a family of open-source language models developed by Replit for assisting with programming tasks such as code generation and completion. The project includes model checkpoints, configuration files, and example code that enable developers to run and experiment with the models locally or within machine learning frameworks. These models are designed specifically for coding workflows and are trained on large datasets of source code covering many programming languages and development environments. ... -
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DevStore
A microservices e-commerce reference application
A microservices e-commerce reference application built with ASP.NET 6. The EShopOnContainers is an awesome project, however the code has some "bad smells". We found it difficult to start learning/using EShopOnContainers compared to DevStore. We like to think of the DevStore as a simplified (but no less complex) version and written with more care in code and small details. We also focused only on the Web architecture with ASP.NET. -
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Fenster
The most minimal cross-platform GUI library
Fenster is a minimal, highly opinionated library for creating cross-platform 2D graphical applications. Its core implementation is a single C99 header of roughly 300 lines, making the code easy to inspect and modify. It opens one titled window and exposes a simple 24-bit RGB framebuffer for direct pixel drawing. Keyboard events, mouse coordinates, clicks, timing, application lifecycle, and system events are handled through a polling API. The same interface also provides audio playback... -
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Autolabel
Label, clean and enrich text datasets with LLMs
Autolabel is a Python library to label, clean and enrich datasets with Large Language Models (LLMs). Autolabel data for NLP tasks such as classification, question-answering and named entity recognition, entity matching and more. Seamlessly use commercial and open-source LLMs from providers such as OpenAI, Anthropic, HuggingFace, Google and more.
