Search Results for "programming languages learning" - Page 35
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Showing 1291 open source projects for "programming languages learning"
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Skater
Python library for model interpretation/explanations
...The concept of model interpretability in the field of machine learning is still new, largely subjective, and, at times, controversial. Model interpretation is the ability to explain and validate the decisions of a predictive model to enable fairness, accountability, and transparency in algorithmic decision-making. The library has embraced object-oriented and functional programming paradigms as deemed necessary to provide scalability and concurrency while keeping code brevity in mind. -
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Git-it
Git-it is a (Mac, Win, Linux) desktop app for learning Git and GitHub
Git-it is a desktop (Mac, Windows and Linux) app that teaches you how to use Git and GitHub on the command line. This application contains challenges for learning Git and GitHub, by using real Git and GitHub, not emulators. You'll be learning the awesome (and not so scary) command line and GitHub which means when you finish all of the challenges you'll have real repositories on your GitHub account and green squares on your contribution chart. You will need this app, Git-it as well as a text... -
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NimTorch
PyTorch - Python + Nim
NimTorch is a deep learning library for the Nim programming language, providing bindings to PyTorch for efficient tensor computations and neural network functionalities. -
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The libMusicXML project aims at developping a platform independant library that supports the MusicXML format. The programming language is C/C++. Other languages (like Java, Lisp...) could be supported using dedicated interface files.
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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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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KAREL 3D
Learning programming language for kids
This is learning programming language for children Karel-3D. By words from LightBot: "Get kids hooked on coding with minutes!" Created by Karel 3D from the 8-bit microcomputer PMD 85-2 in 1986. His later version of Karel the Robot in 3D, created first in the Slovak Republic. JavaScript variant include only one small HTML file tested and works on all devices with keyboard and full JavaScript support in internet browser, or alternative pre-compiled JAVA V8 .jar file with webEngine and JavaFX and code in string. ... -
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IMPORTANT: MoreUnit code has moved to https://github.com/MoreUnit/MoreUnit-Eclipse MoreUnit is an Eclipse plugin that should assist you in writing more unit tests. It supports all programming languages (switching between tests and classes under tests...) and has specific support for Java (creating test stubs, mock support, decoration, refactoring support...).
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learn-javascript
JavaScript Full Stack Tutorial Reference Source Code
Learn JavaScript is the reference source-code repository for Liao Xuefeng's full-stack JavaScript tutorial. It provides practical examples intended to complement the concepts explained in the course. The repository includes Node.js samples covering modules, global objects, filesystems, operating system APIs, streams, timers, and cryptography. Networking examples demonstrate HTTP functionality and basic web application development. The project also contains introductory examples and... -
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Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
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Generic Object Oriented Database System Distributed thick-client OODBMS using aspect-oriented approach to build transparent interface to database from OO programming languages (C++, Java, C#)
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TensorFlow Internals
Open source ebook about TensorFlow kernel and implementation
It is open source ebook about TensorFlow kernel and implementation mechanism, including programming model, computation graph, and distributed training for machine learning. -
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unfluff
Automatically extract body content (and other cool stuff) from HTML
unfluff is a Node.js library designed to automatically extract the main content from an HTML document — stripping away navigation bars, ads, footers and other boilerplate to leave you with the “body content”, metadata (title, author, date) and other useful fields. It’s a tool very much aimed at content-analysis, web scraping, building datasets, or repurposing article text for downstream processing (like machine-learning or summarization). The API is simple: you feed in raw HTML and it returns a structured object with the extracted text and other fields. It supports caching internal representations to speed up repeated extractions. While its language support is best for English, it is still widely used in web-content-processing pipelines. The repository notes some limitations (e.g., languages like Chinese/Arabic/Korean may not be well-supported). ... -
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VR World Creator
Allows anyone to create a VR or AR website for free!
Using the A-Frame WebVR framework, this web based application allows users to create VR and AR webpages for whatever they want - teaching resources, visualization, sharing your 3d models in a very cool way, and much much more! The VR pages can be used with google cardboard, but also can be viewed in the browser and used with the steam vive and oculus rift (untested). You can try it at aframe-tools.sourceforge.io More features are planned to be added in the near future! -
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BERT
Connector for Excel and the programming languages R and Julia
BERT is a tool for connecting Excel with the statistics language R. Specifically, it’s designed to support running R functions from Excel spreadsheet cells. In Excel terms, it’s for writing User-Defined Functions (UDFs) in R. All you have to do is write the function. Everything else – loading the function into Excel, managing parameters, and handling type conversion – is done automatically for you. It really could not be any easier. BERT also has a console that you can use to control Excel... -
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ChaiScript
Embedded Scripting Language Designed for C++
An easy to use embedded scripting language for C++. ChaiScript is one of the only embedded scripting language designed from the ground up to directly target C++ and take advantage of modern C++ development techniques, working with the developer how they would expect it to work. Being a native C++ application, it has some advantages over existing embedded scripting languages. There are no external tools required, no preprocessor, no libraries, just your C++14 compliant compiler. ChaiScript is... -
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CyanNet
New Web Browser based on QtWebEngine
New Web Browser based on QtWebEngine Developer : Hazem Jday Releasing date : 06/08/2018 Platform : Qt Programming languages : C++ with CSS -
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When to use TensorFlowSharp
TensorFlow API for .NET languages
When to use TensorFlowSharp is a .NET binding for the TensorFlow machine learning framework that allows developers to run TensorFlow models directly from C# and other .NET languages. The project exposes TensorFlow’s native C API through a strongly typed interface designed to integrate naturally with the .NET ecosystem. Its primary purpose is to enable developers working in Microsoft-based environments to load trained TensorFlow models and perform inference or additional training within .NET applications. ... -
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Wheefun C Objects
Facilities for Object-Oriented Programming in C
The C programming language is procedural and does not provide an explicit mechanism for object-oriented programming. However, that doesn't mean that object-oriented programming cannot be done in C; with the availability of function pointers and structures, object-oriented code can be written. Although this has been done many times in the past, facilities for generic implementation of object-oriented code are either lacking or have turned into their own programming languages. ... -
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SLING
A natural language frame semantics parser
The aim of the SLING project is to learn to read and understand Wikipedia articles in many languages for the purpose of knowledge base completion, e.g. adding facts mentioned in Wikipedia (and other sources) to the Wikidata knowledge base. We use frame semantics as a common representation for both knowledge representation and document annotation. The SLING parser can be trained to produce frame semantic representations of text directly without any explicit intervening linguistic... -
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DIGITS
Deep Learning GPU training system
The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning into the hands of engineers and data scientists. DIGITS can be used to rapidly train the highly accurate deep neural network (DNNs) for image classification, segmentation and object detection tasks. DIGITS simplifies common deep learning tasks such as managing data, designing and training neural networks on multi-GPU systems, monitoring performance in real-time with advanced visualizations, and selecting the best performing model from the results browser for deployment. ... -
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Edward
A probabilistic programming language in TensorFlow
...It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It enables features such as computational graphs, distributed training, CPU/GPU integration, automatic differentiation, and visualization with TensorBoard. Expectation-Maximization, pseudo-marginal and ABC methods, and message passing algorithms. -
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EvalAI
Evaluating state of the art in AI
EvalAI is an open-source platform for evaluating and comparing machine learning (ML) and artificial intelligence (AI) algorithms at scale. We allow the creation of an arbitrary number of evaluation phases and dataset splits, compatibility using any programming language, and organizing results in both public and private leaderboards. Certain large-scale challenges need special computing capabilities for evaluation. -
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Code snippets community manager
Share your code snippets with community and team
Share your code snippets with community and team. Search (by key or fulltext) and presentation is integrated into netbeans auto completion. Use community server, do your own team server or use local store. Code snippets are stored under the mime type. -
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The Teachingbox uses advanced machine learning techniques to relieve developers from the programming of hand-crafted sophisticated behaviors of autonomous agents (such as robots, game players etc...) In the current status we have implemented a well founded reinforcement learning core in Java with many popular usecases, environments, policies and learners. Obtaining the teachingbox: FOR USERS: If you want to download the latest releases, please visit: http://search.maven.org/#search|ga|1|teachingbox FOR DEVELOPERS: 1) If you use Apache Maven, just add the following dependency to your pom.xml: <dependency> <groupId>org.sf.teachingbox</groupId> <artifactId>teachingbox-core</artifactId> <version>1.2.3</version> </dependency> 2) If you want to check out the most recent source-code: git clone https://git.code.sf.net/p/teachingbox/core teachingbox-core Documentation: https://sourceforge.net/p/teachingbox/documentation/HEAD/tree/trunk/manual/
