Search Results for "self code" - Page 11
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Showing 388 open source projects for "self code"
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RefPerSys
Reflexive & Persistent System (symbolic artificial intelligence)
...This is work in progress, inspired by ideas of the late Jacques Pitrat (see also http://bootstrappingartificialintelligence.fr/WordPress3/ etc...) bootstrapping an AI system, metaprogramming, self-generation, declarative "expert system" like rules and metarules implemented thru flexible persistent objects, flexible object system (à la ObjVLisp). The insight of RefPerSys is to generate more and more of its C++ code base, from higher-level persistent knowledge representations (objects) with a continuously improving persistent heap (a semantic network). ... -
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Data Science Notes
Curated collection of data science learning materials
Data Science Notes is a large, curated collection of data science learning materials, with explanations, code snippets, and structured notes across the typical end-to-end workflow. It spans foundational math and statistics through data wrangling, visualization, machine learning, and practical project organization. The content emphasizes hands-on understanding by pairing narrative notes with runnable examples, making it useful for both self-study and classroom settings. ... -
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LuxCal Web Based Event Calendar
LuxCal Web based Event Calendar
LuxCal is an innovative web based event calendar for home use and small businesses. Easy management of your calendar events from any internet PC at home, in the office or wherever you go. LuxCal has been designed for user-friendliness and will help you to make error-free data inputs. Supported views: Year, month, week, day, upcoming events and changes. Flexible date/time formats and user interface. Import/export of iCal files. RSS feeds. -
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Zen Cart E-Commerce Shopping Cart
Zen Cart® is a free full-featured self-hosted e-commerce application
Zen Cart® is a PHP e-commerce shopping cart program. Built on a foundation of osCommerce GPL code, Zen Cart® is an easy-to-setup and run online store. Zen Cart® is for selling online. Zen Cart® is completely customizable ecommerce. Zen Cart® runs from your own webserver, which means you are fully in control of all its features and capabilities. -
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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Shaark
Self-hosted platform to keep and share your content
...If you make changes to JS, don't compile assets in production, I'll manually compile them when merging for security reasons. You're able to active 2-FA (2 factors authentication). By default 2-FA is disabled but you can update it from your app settings. Code length and code expiration are also configurable. Test if you application can send emails before enabling this feature. Since 1.2.9, all chests data are encrypted in your database using AES-256-CBC and your app key. Others users can be admin or non-admin. Admin users are like the main user and have an access to the entire content. -
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Screwdriver API
An open source build platform designed for continuous delivery
...Screwdriver is executor and SCM-agnostic, meaning you can choose whichever plugin better suits your need or build your own. It's completely free and open-source, and our team is actively maintaining the code. Screwdriver is a self-contained, pluggable service to help you build, test, and continuously deliver software using the latest containerization technologies. We support an expanding list of source code services, execution engines, and databases so Screwdriver can work in your ecosystem. -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on fundamentals, or developers wanting to understand algorithm internals, this repository provides ready-to-run examples, and can serve as a sandbox to experiment, benchmark, or adapt code. ... -
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The Development System for Auditory Modelling (DSAM) is a computational library designed specifically for producing simulations of the auditory system. It brings together many established auditory models within a flexible programming platform.
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Gap-SPH
Basic SPH solver for 3D subsonic fluid flow models
...Viscosity is updated every half-time step to account for nonlinear behavior of one of the phases and all solid boundaries are modeled using the virtual particle method. A basic all-pair search algorithm is used to determine pair lists. The purpose of this self-contained solver is to further develop the code to optimize it to the case of river bedload dynamics. Parallel programming directives have been added where applicable. No GUI for pre- or post- processing is provided yet. -
Atera all-in-one platform IT management software with AI agentsAtera’s AI agents don’t just assist, they act. From detection to resolution, they handle incidents and requests instantly, taking your IT management from automated to autonomous.
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. -
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Sparse Attention
"Generating Long Sequences with Sparse Transformers" examples
Sparse Attention is OpenAI’s code release for the Sparse Transformer model, introduced in the paper Generating Long Sequences with Sparse Transformers. It explores how modifying the self-attention mechanism with sparse patterns can reduce the quadratic scaling of standard transformers, making it possible to model much longer sequences efficiently. The repository provides implementations of sparse attention layers, training code, and evaluation scripts for benchmark datasets. ... -
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Primitive Pictures
Reproducing images with geometric primitives
...The tool supports input resizing, different shape modes (triangle, rectangle, circle, bezier, polygon), alpha blending, and can output PNG, JPG, SVG, or even animated GIFs that show the incremental build process. Because the Go code is self-contained and efficient, users can run it locally on images, script batch runs, or use it to generate “primitive art” or stylized thumbnails. -
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Seafox
A blazing fast 100% spec compliant, self-hosted javascript parser
Seafox is a high-performance ECMAScript parser written in JavaScript. It aims to be a fast and compliant parser for JavaScript, suitable for various tooling and analysis purposes. -
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GraalVM
Run programs faster anywhere
...It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. Leverage the best features and libraries of popular languages in a single app with no overhead. ... -
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Python Machine Learning
The "Python Machine Learning (2nd edition)" book code repository
...It covers a wide range of topics including supervised learning, unsupervised learning, dimensionality reduction, model evaluation, deep learning with TensorFlow, and embedding models into web apps. Each chapter has Jupyter notebooks and Python scripts that replicate the examples in the book, allowing readers to run, inspect, and tweak code directly as they follow material. The structure also includes errata documentation and assets (images) that appear in the printed edition, providing a rich supplement to learning. The repository is suitable both for classroom use and for self-study, as well as being a go-to reference for data scientists revisiting techniques. -
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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). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. ... -
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deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
...It implements the core logic needed to train an agent using Q-learning with neural networks (i.e. approximating Q-values via deep nets), setting up environment interaction loops, experience replay, network updates, and policy behavior. For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. Because it’s self-contained and Python-based, it's well-suited for experimentation, modifications, or extension — for instance adapting to custom Gym environments, tweaking network architecture, or combining with other RL techniques. -
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Pannellum
Pannellum is a lightweight, free, and open source panorama viewer
Pannellum is a lightweight, free, and open source panorama viewer for the web. Built using HTML5, CSS3, JavaScript, and WebGL, it is plug-in free. It can be deployed easily as a single file, just 21kB gzipped, and then embedded into pages as an <iframe>. A configuration utility is included to generate the required code for embedding. An API is included for more advanced integrations. -
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JavaEETest
Spring, SpringMVC, MyBatis, Spring Boot cases
JavaEETest is a comprehensive example repository showcasing Java web development using key technologies like Spring, Spring MVC, MyBatis, and Spring Boot. The project contains many small self-contained demo modules that demonstrate specific concepts such as dependency injection, MVC routing, ORM mapping, transaction management, caching, security configuration, and database interaction. It provides ready-to-run code that learners can inspect to understand how Java web apps are structured and how these frameworks collaborate under the hood. ... -
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ZM
A library to handle coroutine and green thread in C
ZM is a C library to handle continuations (coroutine, exception, green thread) with finite state machines. The library is written in C99 without external dependecy or machine-specific code and can be compiled in ansi-c or ansi-c++ with the minal effort to define two unsigned int type (uint8_t and uint32_t). -
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HTML5 Demos and Examples
Collection of hacks and demos showing capability of HTML5 apps
...The repository is an archive of interactive examples—ranging from canvas tricks to video, audio, drag-and-drop, WebSockets, and more—that illustrate how HTML, CSS, and JavaScript can combine to build rich, browser-centric experiences without plugins. Each demo is a self-contained piece of code you can open, explore, and learn from, and the collection was curated to help developers grasp emerging standards at a time when HTML5 was gaining traction and not yet ubiquitous. Though no longer actively maintained, the archive still contains hundreds of creative examples that can teach fundamentals and spur experimentation with web features. ... -
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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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jsconsole
Web based console - for presentations and workshops
...While more limited than full browser dev tools, it’s lightweight and accessible from anywhere with a browser, and the project includes the full web-app source so you can self-host or customize it for specific use cases. -
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hug
Embrace the APIs of the future. For developing APIs
...As a result, it drastically simplifies Python API development. Make developing a Python-driven API as succinct as a written definition. The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API framework, is better than pushing the problem set to the user of the API framework. Be the basis for next-generation Python APIs, embracing the latest technology. -
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Coursera Machine Learning
Coursera Machine Learning By Prof. Andrew Ng
CourseraMachineLearning is a personal collection of resources, notes, and programming exercises from Andrew Ng’s popular Machine Learning course on Coursera. It consolidates lecture references, programming tutorials, test cases, and supporting materials into one repository for easier review and practice. The project highlights fundamental machine learning concepts such as hypothesis functions, cost functions, gradient descent, bias-variance tradeoffs, and regression models. It also organizes...
