Search Results for "programming learning system" - Page 6
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Showing 206 open source projects for "programming learning system"
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NATS HTTP Round Tripper
This is a Golang http.RoundTripper that uses NATS as a transport
...Because the transport is swappable, it promotes clean separation between business logic and the underlying network. The result is an incremental pathway to evented architectures with the ergonomics of conventional request/response programming. -
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Brain AutoML
Google Brain AutoML
This repository contains a list of AutoML related models and libraries. Google Brain researchers have introduced a new way of programming automated machine learning (AutoML) based on symbolic programming. The researchers also proposed PyGlove, a general symbolic programming library for Python, to implement the symbolic formulation of AutoML. AutoML, designed to fill the machine learning industry’s talent gap, is gaining traction among various organizations. -
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YOLO ROS
YOLO ROS: Real-Time Object Detection for ROS
...You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia. -
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Recursos gratuitos
Coleção com links para desenvolvimento
Recursos Gratuitos is a curated directory of free resources for software development, design, and technical learning. It was created to reduce the time developers spend searching for useful assets and educational materials across the web. The collection organizes resources into clear categories so users can quickly find what fits a project. Visual resources include images, illustrations, emojis, color palettes, fonts, icons, animations, and logos. Learning sections point to books, courses,... -
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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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gradslam
gradslam is an open source differentiable dense SLAM library
...Leveraging the automatic differentiation capabilities of computational graphs, gradSLAM enables the design of SLAM systems that allow for gradient-based learning across each of their components, or the system as a whole. -
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OpenPose
Real-time multi-person keypoint detection library for body, face, etc.
OpenPose has represented the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints (in total 135 keypoints) on single images. It is authored by Ginés Hidalgo, Zhe Cao, Tomas Simon, Shih-En Wei, Yaadhav Raaj, Hanbyul Joo, and Yaser Sheikh. It is maintained by Ginés Hidalgo and Yaadhav Raaj. OpenPose would not be possible without the CMU Panoptic Studio dataset. We would also like to thank all the people who has helped OpenPose in any way. 15, 18 or... -
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jsoncat
Lightweight HTTP framework built in Java
...Because it avoids heavy abstractions and auto-magical configuration, it’s suited to developers who want to understand what happens beneath frameworks rather than just use them. The code has detailed comments (recently translated or annotated for Chinese readers), making it a practical study project for learning network programming, middleware design, and handler chains. Projects like this are especially useful for backend engineers or Java learners who want to demystify how web servers and routing frameworks work at a low level. -
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Euler
A distributed graph deep learning framework.
As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle. -
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ocapi
C-level driver collection for MSP430 and derivatives
...Before it can be used, the library must be built from the sources provided here. The build environment allows for fine grained configuration of the library's functionality and target system. -
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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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threadandjuc
High performance three-high-import import system
threadandjuc is a Java learning repository focused on multithreading, concurrency, and JUC concepts. It is designed to help developers understand how Java concurrent programming works through examples, explanations, and practical project-style demonstrations. The project covers topics such as threads, locks, synchronization, thread pools, concurrent collections, and high-performance data handling. -
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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 -
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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. -
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javaLightConsole
Easy fine console input/output for java
Input : non blocking keyboard handling. Output : clean console, print at x,y coordinates, echo on/off, cursor on/off. Developed for learning game programming and MVC. Uses native code through JNI. Provides windows and linux versions. Includes code:blocks and eclipse projects for native and java code. You can use the classes InputProxy and OutpoutProxy in your projects. For usage examples, see their main() methods. -
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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. -
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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. -
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FastFlow: programming multi-core
Pattern-based multi/many-core parallel programming framework
FastFlow is a C/C++ programming framework supporting the development of pattern-based parallel programs on multi/many-core, GPUs and distributed platforms. FastFlow run-time is built upon non-blocking threads and lock-free queues. Thanks to its very efficient CAS-free communication/synchronization support (e.g. few clock cycles core-to-core latency), FastFlow effectively supports the exploitation of fine grain parallelism, e.g. parallel codes managing very high frequency streams on... -
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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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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. -
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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). ... -
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Functional, Data Science Intro To Python
[tutorial]A functional, Data Science focused introduction to Python
The first section is an intentionally brief, functional, data science-centric introduction to Python. The assumption is a someone with zero experience in programming can follow this tutorial and learn Python with the smallest amount of information possible. The sections after that, involve varying levels of difficulty and cover topics as diverse as Machine Learning, Linear Optimization, build systems, command line tools, recommendation engines, Sentiment Analysis and Cloud Computing. -
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understand-plugin-framework
Demos to help understand plugin framwork
understand-plugin-framework is an educational project that explores how plugin frameworks operate within Android applications. It demonstrates how applications can dynamically load and execute external modules without requiring installation through standard mechanisms. The repository provides examples and explanations of class loading, resource management, and component integration. It is designed to help developers understand the internal architecture of plugin-based systems. The project is... -
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Tiramisu
Polyhedral compiler for expressing fast and portable data algorithms
Tiramisu is a compiler for expressing fast and portable data parallel computations. It provides a simple C++ API for expressing algorithms (Tiramisu expressions) and how these algorithms should be optimized by the compiler. Tiramisu can be used in areas such as linear and tensor algebra, deep learning, image processing, stencil computations and machine learning. The Tiramisu compiler is based on the polyhedral model thus it can express a large set of loop optimizations and data layout... -
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EventMachine
EventMachine, fast, simple event-processing library for Ruby programs
EventMachine is an event-driven I/O and lightweight concurrency library for Ruby. It provides event-driven I/O using the Reactor pattern, much like JBoss Netty, Apache MINA, Python's Twisted, Node.js, libevent and libev. Extremely high scalability, performance and stability for the most demanding production environments. An API that eliminates the complexities of high-performance threaded network programming, allowing engineers to concentrate on their application logic. This unique...
