Search Results for "g-code" - Page 10
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Showing 569 open source projects for "g-code"
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Contestant
Helps to manage contestant/participant applications
The contestant project is an idea and an example how to deal with plenty number of participant applications. Especially when those applications are sent to organizer in paper form. In short, participant fills out a form through web site which generates pdf file with QR code. It can be printed, signed and stamped by participant organization. The organizer gets the application form by email or via post, scans QR code from the form and pastes the data into table without necessary of rewriting. All with open-source tools. -
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DetectorCalibration
Peak and global efficiency of radiation source-detector equipment
...D:\\DetectorCalibration\\Build) and, if on Linux, next lines pointing to the Geant4 data. RadiationHelper is found here: https://sourceforge.net/projects/radiationhelper/ Source code included. Also, available on GitHub: https://github.com/ZiliasTheSaint/DetectorCalibration.git -
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Digital Logic Simulator (DiLoSim)
Allows you to build your own circuits and test them
...Run on Windows: - Install Java: https://java.com/en/download/ - Download the binaries - Open the jar-file with the java runtime Limitations: - Currently only German language supported. - This software requires Java 8 or above to work. Tested with OpenJDK & Oracle Java. For more information check out the project's source code at https://github.com/Crusader99/digital-logic-simulator -
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JCSprout
Basic, concurrent algorithm
...By bundling explanations with code and references, JCSprout acts as a compact “from student to engineer” handbook for the Java ecosystem. -
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JESUBOTs - FRC Team #5809
Rockhurst High School Robotics Team
This project is the central engineering hub for the JESUBOTs FRC Robotics Team #5809. We intend to use Sourceforge to share all of our present and future robot hardware designs and software with anyone that is interested. The team transitioned to SolidWorks in the 2018 season since our local universities all teach using SolidWorks. Our rookie year was 2016 when we were honored to win the Rookie All-Star Award and had the pleasure of attending the FRC World's Competition in St.... -
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stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course
This repository contains code examples for the course CS 20: TensorFlow for Deep Learning Research. It will be updated as the class progresses. Detailed syllabus and lecture notes can be found in the site. For this course, I use python3.6 and TensorFlow 1.4.1. -
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Modern C++ Tutorial
Modern C++ Tutorial: C++11/14/17/20 On the Fly
C++ is a language with a large user base. From the emergence of C++98 to the official finalization of C++11, it has experienced more than ten years of accumulation. C++14/17 is an important supplement and optimization to C++11, and C++20 brings this language into the door of modernization. All the expanded features in these new standards give C++ the language Infused with new vitality. Those C++ programmers who still insist on using traditional C++ (this book refers to C++98 and the previous... -
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Thread
Mulithreading Arduno library
Simplest of possible kernel for iterative time division multithreading on smallest AVR boards Arduino. This is a small and adapted part of the future "Like OS". -
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IGVC IITK Data
Data useful for testing autonomous navigation algorithms
This repository is only used for the purpose of dataset storage for Team IGVC, IITK. For the relevant code, see our GitHub repositories. (https://github.com/igvc-iitk). The recorded data is used for testing various algorithms related to Computer Vision, SLAM, Motion Planning etc. -
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OpenRTDynamics
A framework for implementing real-time control systems
- - - T H I S P R O J E C T M O V E D T O G I T H U B - - - A framework for the implementation of advanced real-time control systems which uses signal/block-based schematics (like Simulink) extended by several features like state machines and online-exchangeable sub-simulations. Besides, this framework properly handles multiple threads, their communication, allows to synchronise control systems to external events (e.g. variable timers or incoming network packages) and provides many other nice features. ... -
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PyTorch Book
PyTorch tutorials and fun projects including neural talk
This is the corresponding code for the book "The Deep Learning Framework PyTorch: Getting Started and Practical", but it can also be used as a standalone PyTorch Getting Started Guide and Tutorial. The current version of the code is based on pytorch 1.0.1, if you want to use an older version please git checkout v0.4or git checkout v0.3. Legacy code has better python2/python3 compatibility, CPU/GPU compatibility test. -
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MarkList
Collection of Mark lists from Mobile App and Print Progress Cards
...Mark lists are bulk printed. Pdf can be printed individually. Mark lists are compiled in to one data sheet. Progress cards can be viewed or printed directly. You can write your own code to print Progress Card. Data is collected in Text Format so can be accessed and interpreted easily. Mobile App Google Playstore Link : https://play.google.com/store/apps/details?id=in.refort.MarkList&hl=en Other open source projects : http://sourceforge.net/projects/collegetimetable http://sourceforge.net/projects/set4 http://sourceforge.net/projects/hsc-formcreator http://sourceforge.net/projects/flagindia -
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Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
...It covers the complete pipeline: tokenizing and parsing a simple, expression-oriented language, constructing an AST, and generating LLVM IR with a JIT so you can execute code interactively. Along the way it adds language features like user-defined functions, conditionals, loops, and operator precedence, demonstrating how each addition impacts parsing and codegen. Because it uses Haskell idioms, the code clearly separates pure syntax handling from effectful JIT operations, making the architecture easy to reason about. ... -
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kcws
Deep Learning Chinese Word Segment
...Change to the code directory.After installing tensorflow, switch to the kcws code directory. Currently, the custom dictionary is supported in the decoding stage. Please refer to kcws/cc/test_seg.cc for specific usage. The dictionary is in text format. -
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Python Cookbook
Python Cookbook, 3rd edition translation
...Just as Python 3 represents the future, the new "Python Cookbook" version has a brand new change compared to the previous version. First and foremost, this means that this book is a very cutting-edge reference book. All the code in the book was written and tested under Python 3.3 version. We hope this book will guide people to use Python 3 to write new code or upgrade legacy code. -
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Web-CAT
Open-source automated grading of programming assignments
Web-CAT is a plug-in based web application for automatically grading programming assignments in many programming languages. This project also provides Eclipse plugins for electronic submission and feedback services directly from the Eclipse IDE. We now use github for source code control (https://github.com/web-cat), although all file releases are still provided here through SourceForge. The CVS repository here is for archival purposes only. -
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Write a hash table in C
Learn how to write a hash table in C
...Understanding of how a fundamental data structure works under the hood. Deeper knowledge of when to use hash tables, when not to use them, and how they can fail. Exposure to new C code. The language doesn't come with one included. It is a low-level language, so you get deeper exposure to how things work at a machine level. The full implementation is around 200 lines of code, and should take around an hour or two to work through. This tutorial assumes some familiarity with programming and C syntax. The code itself is relatively straightforward, and most issues should be solvable with a web search. ... -
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A Whirlwind Tour of Python
The Jupyter Notebooks behind my OReilly report
...The material is aimed at people who already know how to program in another language and want to transition efficiently into idiomatic Python, particularly for research and analytical work. Each notebook mixes short explanations with executable code cells, encouraging readers to run, modify, and experiment with examples as they go. The project also backs a free O’Reilly report and an online version of the book, making it easy to read in the browser or work locally with the notebooks. -
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Learning JavaScript Design Patterns
Repo for my 'Learning JavaScript Design Patterns' book
...They are both exciting and a fascinating topic to explore in any programming language. One reason for this is that they help us build upon the combined experience of many developers that came before us and ensure we structure our code in an optimized way, meeting the needs of problems we're attempting to solve. Design patterns also provide us a common vocabulary to describe solutions. This can be significantly simpler than describing syntax and semantics when we're attempting to convey a way of structuring a solution in code form. -
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Astrolabe Generator
Generates custom astrolabe EPS files
...Find us on Github at: https://github.com/wymarc This program will generate a set of PostScript (EPS) files for the front, back, rete and rules of an astrolabe for a given latitude. Additional related quadrant tools are also available. Version 3.0 moves the code to Java. Program is now an executable Jar file. -
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Lissajous figures
It animates some Lissajous figures. It is Boot-able.
This is a short simple boot-able program that animates some Lissajous figures. It can only run when the computer contains Bios, and when the computer is booted. The complete source code is here as an .asm file which can be compiled instantly with the Fasmw compiler. It has an interesting way of switching the computer into 64 bit Long mode. It actually switches the computer back and forth between 16 bit and 64 bit mode, easily, with an interesting technique. -
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JHOVE
File validation and characterization
JHOVE provides functions to perform format-specific identification, validation, and characterization of digital objects. JHOVE should not be confused with JHOVE2, a product with similar aims but a completely separate code base. -
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Learning to Learn in TensorFlow
Learning to Learn in TensorFlow
Learning to Learn, created by Google DeepMind, is an experimental framework that implements meta-learning—training neural networks to learn optimization strategies themselves rather than relying on manually designed algorithms like Adam or SGD. The repository provides code for training and evaluating learned optimizers that can generalize across different problem types, such as quadratic functions and image classification tasks (MNIST and CIFAR-10). Using TensorFlow, it defines a meta-optimizer model that learns by observing and adapting to the optimization trajectories of other models. The project allows users to compare performance between traditional optimizers and the learned optimizer (L2L) on various benchmarks, demonstrating how optimization strategies can be learned through experience. ... -
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ES6 Overview
ES6 Overview in 350 Bullet Points
...Topics include block-scoped declarations (let, const), arrow functions, classes, modules, destructuring, rest/spread, template strings, iterators, generators, maps/sets, promises, and more. Each section gives short, practical bullet points that highlight what the feature is, how it compares to older patterns, and why it matters for real-world code. The document links out to longer, in-depth articles for readers who want to dive deeper into a particular topic, but stands alone as a quick reference or crash course in modern JavaScript. It’s particularly useful for developers coming from ES5 who want to update their mental model and code style without reading a full book. -
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TensorFlow World
Simple and ready-to-use tutorials for TensorFlow
This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high...
