Search Results for "source code computer" - Page 26
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Showing 1040 open source projects for "source code computer"
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PulledPork
Pulled Pork for Snort and Suricata rule management (from Google code)
PulledPork is a Perl-based script that automates the management of Snort and Suricata IDS/IPS rulesets. It streamlines the process of downloading, parsing, and updating rules, ensuring that intrusion detection systems remain current and effective. -
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Dynamic
Call hidden/private API in style, The Swift way
Dynamic is an Objective-C library for dynamically interacting with private and public iOS APIs. It allows developers to access properties, methods, and classes that are not normally exposed, useful for runtime exploration and advanced debugging. -
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Dart
Dart is a client-optimized language for fast apps on any platform
...A programming language that is easy to learn, with a familiar syntax. Make changes to your source code iteratively, using hot reload to instantly see the effect in the running app. -
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Flutter Dojo
A beautiful design and useful project
Flutter Dojo is an educational and practical Flutter UI project that provides a large collection of demo screens, layouts, and component examples designed to help developers learn and experiment with Flutter’s capabilities. Rather than being a traditional component library, it acts as a showcase and playground where developers can explore different UI patterns, animations, and design implementations within a single project. The repository includes numerous real-world interface examples,... -
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C3.js
A D3-based reusable chart library
C3 makes it easy to generate D3-based charts by wrapping the code required to construct the entire chart. We don't need to write D3 code any more. C3 gives some classes to each element when generating, so you can define a custom style by the class and it's possible to extend the structure directly by D3. C3 provides a variety of APIs and callbacks to access the state of the chart. By using them, you can update the chart even after it's rendered. C3 enables deeper integration of charts into... -
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kotlin-libui
Kotlin/Native interop to libui: a portable GUI library
Kotlin/Native bindings to the libui C library. libui is a C lightweight multi-platform UI library using native widgets on Linux (Gtk3), macOS, and Windows. Using this binding you can develop cross-platform but native-looking GUI programs, written in Kotlin, and compiled into small native executable files. Cross-platform build is automated using Travis for Linux and macOS targets, and AppVeyor for Windows targets. Just create a release on GitHub, and executable files for all 3 major desktop... -
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Top Deep Learning Projects
A list of popular github projects related to deep learning
...Rather than being a library itself, it serves as a curated roadmap and reference guide for anyone exploring the deep learning ecosystem — from beginners to experienced practitioners. By aggregating high-star projects across frameworks (TensorFlow, PyTorch), tools (computer vision, NLP, reinforcement learning), tutorials, and research code, it helps users quickly discover reputable and well-maintained repositories. This way one can survey state-of-the-art projects, find learning resources, or pick stable libraries for production — without manually sifting through hundreds of repos. The repository is openly licensed under MIT, making it easy to fork, extend, or contribute updates (e.g. adding newer projects or reordering by recent popularity). -
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Wheefun Execution Library
A Portable Library for Code Execution
WFEX provides functionality for portably executing code using a variety of different execution types ("executors") from generic job objects, most notably the "tasklet" concept. It also includes synchronization primitives such as locks and barriers. This library can be included in your project to implement certain forms of high-performance computing into your projects and has bindings planned for C, C++, and Objective C. It abstracts away various concepts that are often relegated to system... -
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ebfformat
An Efficient Binary data Format
EBF, which stands for Efficient Binary Format, is a binary file format for reading and writing binary data easily. Reading writing routines are currently available in C,C++,Fortran,Java, Python, IDL, MATLAB. A program called ebftkpy which has a set of utility functions to work with the .ebf files , e.g., viewing the contents and getting a summary, is also provided. The EBF specification is designed to be concise and easy to understand to make it easier for others to write their own code... -
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Meow Bottom Navigation
Android Meow Bottm Navigation
A simple & curved & material bottom navigation for Android written in Kotlin. -
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Brand new cheatsheets and handouts
Matplotlib 3.1 cheat sheet
The Brand new cheatsheets and handouts repo is a compact, quick-reference summary of the most commonly used plotting commands and configurations in Matplotlib, intended to serve as a handy reference for experienced users who want to recall syntax or find the right function without digging into full documentation. It lays out common use cases (plot types, styling, figure configuration, saving/exporting, subplot layout, etc.) in a concise and organized format — often serving as a “cheat sheet”... -
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Bili
Bili makes it easier to bundle JavaScript libraries
Bili makes it easier to bundle JavaScript libraries. Both .js and .ts config files are transpiled by Babel using babel-preset-env and babel-preset-typescript, so feel free to use modern JavaScript features. Bili allows you to add additional Rollup plugins. Automatically transforms JS files using Buble, Babel or TypeScript. Built-in support for CSS, Sass, Stylus, Less and CSS modules. Ridiculously easy to use Rollup plugins if you want. Written in TypeScript, automatically generated API docs.... -
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Tensor2Tensor
Library of deep learning models and datasets
Deep Learning (DL) has enabled the rapid advancement of many useful technologies, such as machine translation, speech recognition and object detection. In the research community, one can find code open-sourced by the authors to help in replicating their results and further advancing deep learning. However, most of these DL systems use unique setups that require significant engineering effort and may only work for a specific problem or architecture, making it hard to run new experiments and... -
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Boss Engine
8-bit Graphical API for Java
Boss Engine is a graphical API for writing low-resolution 8-bit color applications. It offers easy to use functions for handling graphics, basic i/o and more. Screen access is performed through virtual framebuffers that allow direct read/write access to indexed color screen data. API is coded entirely with native libraries. No third party libraries required. -
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Bloaty
Bloaty: a size profiler for binaries
Bloaty is a deep, accurate size profiler for native binaries that tells you where every byte comes from so you can shrink executables and libraries intelligently. It parses binary formats like ELF, Mach-O, and DWARF symbol/debug data without relying solely on toolchain heuristics, letting you attribute size to files, sections, symbols, templates, and even compilation units. Reports can be produced at multiple granularities and diffed across builds to identify regressions introduced by... -
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Flutter Example Apps
Basic Flutter apps, for flutter devs
FlutterExampleApps is a curated repository of Flutter application source code and demos intended to help developers learn Flutter development through real-world examples and practical implementations of common app patterns. Instead of being a single app, it consists of dozens of example projects including clones of popular apps, utility apps, interactive UIs, and Flutter integrations with plugins and device features, covering topics from basic widgets to Firebase integration and responsive layouts. ... -
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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. At the same time, it also introduces deep learning techniques used by practitioners in the industry, including... -
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modernish
Modernish is a library for writing robust, portable, readable, and pow
Modernish is a library for shell script programming which provides features like safer variable and command expansion, new language constructs for loop iteration, and much more. Modernish programs are shell programs; the new constructs are mixed with shell syntax so that the programmer can take advantage of the best of both. There is no compiled code to install, as modernish is written entirely in the shell language. It can be deployed in embedded or multi-user systems in which new binary... -
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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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Arduino MIDI Library
MIDI for Arduino
This library adds MIDI I/O communications to an Arduino board. MIDI over USB, Bluetooth, IP & AppleMIDI (see Transports). Active Sensing support. Compatible with all Arduino boards (and clones with an AVR processor). Simple and fast way to send and receive every kind of MIDI message (including all System messages, SysEx, Clock, etc..). OMNI input reading (read all channels). Software Thru, with message filtering. Callbacks to handle input messages more easily. Last received message is saved... -
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API Correios
API correios.com.br in Python
pycorreios is a Python library aimed at interacting with Brazil’s postal service (Correios) APIs, making it easier for developers to track shipments, calculate postage, query service availability, and integrate with Brazilian e-commerce flows. The library abstracts the raw SOAP or REST endpoints exposed by Correios, providing Pythonic methods to perform common tasks like tracking a package by its code or computing shipping cost/lead time between postal codes. It handles serialization and mapping of API responses into Python objects so developers don’t manually parse raw XML or JSON. With this tool, developers building Brazilian market e-commerce or logistics solutions can integrate postal services smoothly. Because it is open source, improvements can be contributed to support new endpoints, changes in the postal service API, or additional features like caching or async requests. -
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javalang
Pure Python Java parser and tools
javalang is a pure Python library for working with Java source code. javalang provides a lexer and parser targeting Java 8. The implementation is based on the Java language spec. -
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BFKit
BFKit is a collection of useful classes and categories to develop Apps
BFKit is a comprehensive library of tools and utilities for iOS development, written in Swift and Objective-C. It offers a wide collection of extensions, helpers, and functionalities that streamline app development and reduce boilerplate code. -
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Object Oriented Harbour Graphical interface. This is an object oriented adaptation of the MiniGUI library, that supports existing code and adds new and powerful advantages from the object oriented programming. Visit us at our new site at GitHub.
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The Neural Process Family
This repository contains notebook implementations
Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation. They can learn distributions over functions from...
