Search Results for "programming learning system" - Page 15
Sort By:
Showing 720 open source projects for "programming learning system"
View related business solutions-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
-
1
Nana C++ Library
A modern C++ GUI library
Nana C++ Library takes aim at easy-to-use and portable library, it provides a GUI framework and threads for easy programming with modern C++ methods, such as traits, metaprogramming and other template technologies. Documentation http://nanapro.org/en-us/documentation Feel free to report a bug at https://github.com/cnjinhao/nana/issues -
2
nodebook
Multi-Lang Web REPL
Useful to practice algorithms and data structures for coding interviews. Nodebook is an in-browser REPL supporting many programming languages. Code's on the left, Console's on the right. Click "Run" or press Ctrl+Enter or Cmd+Enter to run your code. Code is automatically persisted on the file system. You can also use Nodebook directly on the command line, running your notebooks upon change. A notebook is a folder containing an {index|main}.{js,py,c,cpp,...} file. -
3
DSPatch
The Refreshingly Simple C++ Dataflow Framework
Webite: http://flowbasedprogramming.com DSPatch, pronounced "dispatch", is a powerful C++ dataflow framework. DSPatch is not limited to any particular domain or data type, from reactive programming to stream processing, DSPatch's generic, object-oriented API allows you to create virtually any dataflow system imaginable. *See also:* DSPatcher ( https://github.com/MarcusTomlinson/DSPatcher ): A cross-platform graphical tool for building DSPatch circuits. DSPatchables ( https://github.com/MarcusTomlinson/DSPatchables ): A DSPatch component repository. -
4
12306 Ticket Buying Assistant
12306 Smart ticket swiping, ticket booking
...The system is particularly useful during peak travel periods when tickets sell out quickly, as it can continuously monitor availability and attempt purchases automatically. It includes support for account management, login handling, and CAPTCHA-solving integrations to mimic real user behavior. The project is often used as both a practical utility and a learning resource for understanding HTTP automation and web interaction. -
Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
-
5
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... -
6
Semantic
Parsing, analyzing, and comparing source code across many languages
semantic is a Haskell library and command line tool for parsing, analyzing, and comparing source code. Run semantic --help for complete list of up-to-date options. Semantic uses tree-sitter to generate parse trees, but layers in a more generalized notion of syntax terms across all supported programming languages. We'll see why this is important when we get to diffs and program analysis, but for now let's just inspect some output. It helps to have a simple program to parse. Symbols are named... -
7
pytorch-examples
Simple examples to introduce PyTorch
...By emphasizing readable code, the repository helps users understand how PyTorch’s imperative programming style enables flexible model development. It also serves as a quick reference for common patterns and techniques used in deep learning workflows. The project aligns with PyTorch’s philosophy of combining usability with performance and flexibility. Overall, pytorch-examples is an essential learning resource for anyone working with PyTorch. -
8
php login with email validation
Complete PHP Login with Email Validation System
This is the only complete php login system developed in core php. The system has many features that enable you to learn php Object Oriented Programming (OOP). This program is also very useful for those that want to learn how to create a complete login system in php. INSTALLATION AND SETUP PROCEDURE: https://www.youtube.com/channel/UCBemL4ht7jmZY9tJ8NGkS-A?sub_confirmation=1 subscribe to our youtube channels for more source codes. -
9
Active Learning
Framework and examples for active learning with machine learning model
Active Learning is a Python-based research framework developed by Google for experimenting with and benchmarking various active learning algorithms. It provides modular tools for running reproducible experiments across different datasets, sampling strategies, and machine learning models. The system allows researchers to study how models can improve labeling efficiency by selectively querying the most informative data points rather than relying on uniformly sampled training sets. ... -
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
10
Facets
Visualizations for machine learning datasets
The power of machine learning comes from its ability to learn patterns from large amounts of data. Understanding your data is critical to building a powerful machine learning system. Facets contains two robust visualizations to aid in understanding and analyzing machine learning datasets. Get a sense of the shape of each feature of your dataset using Facets Overview, or explore individual observations using Facets Dive. -
11
Didact
A DIY guide to build your own React
Didact is an educational JavaScript project that teaches developers how to build a small React-like library from scratch. It accompanies a series of explanatory posts that break down React concepts step by step. The project covers rendering DOM elements, element creation, JSX, virtual DOM behavior, reconciliation, components, state, Fiber-style incremental reconciliation, and hooks. Its goal is not to replace React, but to make React’s internal ideas easier to understand through a compact... -
12
nuBASIC
BASIC language interpreter (multiplatform)
nuBASIC is an implementation of an interpreter of the BASIC programming language and IDE. It has been designed mainly for educational purposes and it is suitable for simple games, educational or small business programs. -
13
Java Simple Codes
Simple codes in Java for beginners
This repository provides a set of simple codes to start learning programming. It aims to help new learner to familiarize with basic programming notions and simple algorithms which must be known by every programmer. Every notion or idea is presented in a separate class while the test class provides an example on how to call (or use) this notion. In a first time, no OO programming notions are introduced. -
14
NoderCMS
Node.js + MongoDB
Super concurrency and super high data reading speed, coupled with flexible custom models, easy-to-use templates, advanced background management system and multi-user permissions, have created a perfect NoderCMS. The inherent asynchronous non-blocking programming brought by Node.js makes NoderCMS calmly face up to millions of concurrent visits. Thanks to the non-relational database MongoDB, everything is stored in BSON format, faster and faster. Through the combination of models and custom fields, you can easily create completely different columns and various recommendation positions according to your needs. ... -
15
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. -
16
tinyraycaster
486 lines of C++: old-school FPS in a weekend
...The project focuses on teaching the principles behind rendering pseudo-3D scenes, including wall projection, texture mapping, and camera movement. Its simplicity allows developers to understand the entire rendering pipeline without the complexity of modern game engines. The codebase is structured as a learning resource, guiding users through the process of building a basic game engine from scratch. It is particularly useful for those interested in retro game development or low-level graphics programming. Overall, tinyraycaster offers a concise and accessible introduction to real-time rendering techniques used in early 3D games. -
17
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... -
18
RaptorJIT
A dynamic language for system programming (LuaJIT fork)
RaptorJIT is a Lua implementation suitable for high-performance low-level system programming. If you want to use a simple dynamic language to write a network stack; a hypervisor; a unikernel; a database; etc, then you have come to the right place. -
19
DCLPS
DCLPS: database control loading and prompting system
FRESHHH DCLPS can be considered an object relational mapping system ORM framework. It is robust well structured web oriented programming system that allows to create web systems (web sites) just by coding javascript. That is possible cause it uses a few server php script files that are requested by javascript to get some results. The key of this system is its structure that has to deal with nested tree objects and how it is implemented in the relational database. -
20
C# Extension Methods
C# Extension Methods | Over 1000 extension methods:
...Open a binary file, reads the contents of the file into a byte array, and then closes the file. Extract all the files in the specified zip archive to a directory on the file system. Get started by learning C# Extension Methods from cheat sheet. Get started by searching from documented extension methods. Get started by searching and trying some online example. -
21
Examples.CSharp
Shows how to use .Net Framework controls.
Examples CSharp shows how to use .Net Framework controls without RAD only by programming code (CSharp) * Github repository : https://github.com/gammasoft71/Examples.CSharp * Homepage : https://gammasoft71.wixsite.com/gammasoft/csharp -
22
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). -
23
tcomb
Type checking and DDD for JavaScript
...The library is useful in JavaScript projects where static type information is unavailable or insufficient at runtime. It can validate external inputs, document data expectations, and support safer programming patterns without requiring a full type system migration. tcomb also serves as the foundation for related projects such as tcomb-validation and tcomb-form. Its main value is bringing lightweight, expressive runtime type modeling to JavaScript applications. -
24
Skater
Python library for model interpretation/explanations
Skater is a unified framework to enable Model Interpretation for all forms of the model to help one build an Interpretable machine learning system often needed for real-world use-cases(** we are actively working towards to enabling faithful interpretability for all forms models). It is an open-source python library designed to demystify the learned structures of a black box model both globally(inference on the basis of a complete data set) and locally(inference about an individual prediction). ... -
25
Skylark
Skylark in Go: the Skylark configuration language
Skylark, now known as Starlark, is an interpreter for a Python-like language implemented in Go. It is designed as a lightweight, deterministic, and embeddable configuration and scripting language ideal for use within larger applications. Skylark maintains Python’s familiar syntax and high-level data types while omitting features that could cause nondeterminism, such as concurrency and dynamic module imports. The interpreter supports first-class functions, dictionaries, lists, and...
