Search Results for "programming learning system" - Page 49

Showing 2125 open source projects for "programming learning system"

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  • 1

    Simple Client Server Chat Example

    An example of a simple chat system

    This project is a demonstration example on multi-threading programming in Java (old school) and network programming (String exchanges over network). The multi-threading part aims to show how to avoid blocking methods by putting them in separate thread, therefor, the ExecutorService was not used. Two Runnable interfaces are available in the server and the client to show how the dialog is managed.
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  • 2
    Intel neon

    Intel neon

    Intel® Nervana™ reference deep learning framework

    ...The gpu backend is selected by default, so the above command is equivalent to if a compatible GPU resource is found on the system. The Intel Math Kernel Library takes advantages of the parallelization and vectorization capabilities of Intel Xeon and Xeon Phi systems. When hyperthreading is enabled on the system, we recommend the following KMP_AFFINITY setting to make sure parallel threads are 1:1 mapped to the available physical cores.
    Downloads: 1 This Week
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  • 3
    Spacemacs

    Spacemacs

    A community-driven Emacs distribution

    The best editor is neither Emacs nor Vim, it's Emacs *and* Vim, courtesy of Spacemacs! Spacemacs is an extension of the popular text editor Emacs, that offers a whole new way of experiencing Emacs. It is a community-driven Emacs distribution that focuses on ergonomics, mnemonics and consistency. Using it comes naturally to both Emacs and Vim users. In fact, you could even combine the two editing styles. Enabling you to switch between input styles makes Spacemacs a great choice for...
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  • 5
    chemfiles

    chemfiles

    Modern library for chemistry file reading and writing

    Chemfiles is a modern and high-quality library for reading and writing trajectory files created by computational chemistry simulations program. These trajectories contains atomic positions, velocities, names, topology and sometimes more. Running simulations produce enormous amounts of data, which has to be post-processed to extract physical information about the simulated system. Chemfiles provides an interface to access this information which is - unified: the same code will work with...
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  • 6
    DarkForestGo

    DarkForestGo

    DarkForest, the Facebook Go engine

    darkforestGo is an early deep-reinforcement-learning Go engine that combined a convolutional policy/value network with Monte Carlo Tree Search (MCTS) to play the full 19×19 game at a strong amateur level. The system couples fast GPU policy inference with CPU or GPU-assisted tree search so priors from the network guide exploration while search refines local tactics. Training pipelines mix supervised learning from human professional games and self-play fine-tuning, allowing the model to learn opening patterns and endgame tactics beyond simple pattern libraries. ...
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  • 7
    EasyPR

    EasyPR

    An easy, flexible, and accurate plate recognition project

    EasyPR is an open-source license plate recognition system designed to detect and recognize vehicle license plates from images using computer vision and machine learning techniques. The project focuses primarily on recognizing Chinese license plates but also demonstrates general approaches to automatic number plate recognition systems. Built on top of the OpenCV computer vision library, EasyPR provides algorithms for detecting license plate regions in images, segmenting characters, and recognizing the characters through machine learning models. ...
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  • 8
    This application allow user to predict dissolution profile of solid dispersion systems based on algorithms like symbolic regression, deep neural networks, random forests or generalized boosted models. Those techniques can be combined to create expert system. Application was created as a part of project K/DSC/004290 subsidy for young researchers from Polish Ministry of Higher Education.
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  • 9
    Computer Science (OSSU)

    Computer Science (OSSU)

    Path to a free self-taught education in Computer Science

    OSSU (Open Source Society University) Computer Science is a free, peer‑maintained, self‑paced undergraduate-level CS curriculum using high-quality open online courses (often from top universities), structured to deliver a thorough CS education without tuition. It is designed according to the degree requirements of undergraduate computer science majors, minus general education (non-CS) requirements, as it is assumed most of the people following this curriculum are already educated outside the...
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  • 10
    UltraPlugin.js

    UltraPlugin.js

    A smart framework to developing sites and web applications

    [This project has been discontinued but you can use ALL versions created] UltraPlugin.js is the ultra smart powerful union of a data library containing a large proportion of functions that allows the user to develop web sites and applications in a pleasant and fast way with a framework that creates several possibilities by joining Html, Css and Visual Basic Script with the JS itself and allowing several new types of elements. This project is totally open-source and has a natural development...
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  • 11
    PilusCart

    PilusCart

    Free Open Source E-commerce Solution

    PilusCart is a web-based online store management system, written in PHP scripting language as the most popular web programming language today. To store the data, PilusCart uses MySQL relational database management system.
    Downloads: 5 This Week
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  • 12
    NiboRoboLib
    C and C++ library for the NIBObee, NIBO burger and NIBO 2 robots. The library contains libraries for AVR Studio and Arduino developement, USB drivers and the RoboDude programming software.
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    Downloads: 7 This Week
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  • 13
    DataScienceR

    DataScienceR

    a curated list of R tutorials for Data Science, NLP

    The DataScienceR repository is a curated collection of tutorials, sample code, and project templates for learning data science using the R programming language. It includes an assortment of exercises, sample datasets, and instructional code that cover the core steps of a data science project: data ingestion, cleaning, exploratory analysis, modeling, evaluation, and visualization. Many of the modules demonstrate best practices in R, such as using the tidyverse, R Markdown, modular scripting, and reproducible workflows. ...
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  • 14
    lazfpc4ATU

    lazfpc4ATU

    Lazarus + FreePascal For All Things Ubuntu

    Lazfpc4ATU is a GUI application for Ubuntu distribution both on x86_64 and ARM architectures. It helps a customized version of Lazarus IDE and FreePascal compiler with additional packages dedicated to cross-platform and cross-device programming. Dedicated for: - All desktop flavours of Ubuntu (x86_64) - Ubuntu Mate Desktop on ARM (ie. raspberry pi) - Ubuntu Touch See project's wiki for more information. Lazfpc4ATU is a child of an umbrella project ATU (AllThingsUbuntu):...
    Downloads: 7 This Week
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  • 15
    Learning JavaScript Design Patterns

    Learning JavaScript Design Patterns

    Repo for my 'Learning JavaScript Design Patterns' book

    Learning JavaScript Design Patterns is released under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 unported license. It is available for purchase via O'Reilly Media but will remain available for both free online and as a physical (or eBook) purchase for readers wishing to support the project. This edition was updated to ES2015+ syntax in 2021.
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  • 16
    Deep Learning with Keras and Tensorflow

    Deep Learning with Keras and Tensorflow

    Introduction to Deep Neural Networks with Keras and Tensorflow

    Introduction to Deep Neural Networks with Keras and Tensorflow. To date tensorflow comes in two different packages, namely tensorflow and tensorflow-gpu, whether you want to install the framework with CPU-only or GPU support, respectively. NVIDIA Drivers and CuDNN must be installed and configured before hand. Please refer to the official Tensorflow documentation for further details. Since version 0.9 Theano introduced the libgpuarray in the stable release (it was previously only available in...
    Downloads: 1 This Week
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  • 17
    Machine-Learning-Flappy-Bird

    Machine-Learning-Flappy-Bird

    Machine Learning for Flappy Bird using Neural Network

    Machine-Learning-Flappy-Bird is an educational machine learning project that demonstrates how an artificial intelligence agent can learn to play the Flappy Bird game using neural networks and evolutionary algorithms. The system simulates a population of birds that each possess their own neural network, which acts as a decision-making controller during gameplay.
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  • 18
    Computational Linear Algebra for Coders

    Computational Linear Algebra for Coders

    Free online textbook of Jupyter notebooks

    ...The course materials are organized as Jupyter notebooks that combine explanations, code demonstrations, and exercises. Instead of emphasizing purely theoretical mathematics, the project takes a programming-oriented approach that helps developers understand how linear algebra algorithms are implemented in real computational systems. The course explores topics such as matrix decomposition, numerical stability, and optimization techniques that are essential for machine learning and data science applications.
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  • 19

    ats2-lang-contrib

    External Contributions to the ATS2 PL System

    This project primarily consists of external contributions made to the ATS2 programming language system in the forms of library packages, tutorials, examples, and all sorts of documentation, etc.
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  • 20
    Clus
    Clus is an open source machine learning system that implements predictive clustering trees (PCTs) and predictive clustering rules (PCRs). PCTs generalize traditional classification and regression trees by altering the heuristic that is used to constr
    Downloads: 1 This Week
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  • 21
    DMTK

    DMTK

    Microsoft Distributed Machine Learning Toolkit

    The Microsoft Distributed Machine Learning Toolkit (DMTK) is an open-source framework created to support scalable machine learning across distributed computing environments. Developed by Microsoft Research, the toolkit provides infrastructure and algorithms designed to train large models efficiently on clusters of machines rather than a single system. At its core is a parameter-server architecture called Multiverso, which manages model parameters and synchronizes updates across distributed training processes. ...
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  • 22
    MetExpert
    MetExpert is an expert system to assist users with limited expertise in informatics to interpret GCMS data for metabolite identification without querying spectral databases
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  • 23
    Caffe2

    Caffe2

    Caffe2 is a lightweight, modular, and scalable deep learning framework

    Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind. Caffe2 is a deep learning framework that provides an easy and straightforward way for you to experiment with deep learning and leverage community contributions of new models and algorithms. You can bring your creations to scale using the power of GPUs in the cloud or to the masses on mobile with Caffe2’s cross-platform...
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  • 24
    Elchemy

    Elchemy

    Write Elixir code using statically-typed Elm-like syntax

    ...Everything gets checked for you by the compiler. The produced code is idiomatic, performant and can be easily read and analyzed without taking a single look at the original source. Elchemy's type system eliminates almost all runtime errors. .
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  • 25
    Bash Shell Scripting in a Minute

    Bash Shell Scripting in a Minute

    Learn Bash Shell Scripting in a Minute using this Collection of Script

    Learn Bash Shell Scripting in a Minute using this Collection of Scripts, which are Real World Examples, ranging from a simple Date Based Theme to a Standalone Kiosk Type User Input Forms. The Learning is based on a "Observe and Understand Strategy", which means you run these scripts, observe their outputs, understand the script that generates them and learn the whole thing. These Scripts cover almost all the basics of bash shell scripting and summarizes them in the last script for user...
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