Search Results for "g-code" - Page 8
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Showing 569 open source projects for "g-code"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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3 Rs of Software Architecture
A guide on how to write readable, reusable, and refactorable software
...It focuses on three architectural “ilities”: readability, reusability, and refactorability, presenting them in a hierarchical framework so developers can evaluate and improve their code and system design. The project uses a simple shopping-cart application written in JavaScript and React/Redux to illustrate how code evolves from “bad” via “better” to “good” across those three dimensions. By examining common smells—poor naming, deep nesting, long functions, tight coupling—readers learn how to restructure code to improve maintainability. ... -
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Agenda y Reservacion de Citas
Agenda y Reservacion de Citas
...La idea es que el usuario pueda seleccionar la fecha,horario y llenar datos que se le solicite, ahora con esta nueva version puede uno configurar estos datos a llenar. Aqui puedes consultar el demo: http://www.marcocantugeadev.dx.am/mcgcitasenlinea-code/AgendaElectronica/index.php Te puedes registrar y probar el sistema agergando tu correo Usuario Administrador: usuario: admin@server.com contraseña: 1234 Usuario de Administracion de Agenda Usuario:adminagenda@server.com contraseña:1234 Para instalarlo , ve a la seccion de Wiki para mas detalle o a este link: https://sourceforge.net/p/mcgcitasenlinea/wiki/Como%20Instalarlo/ -
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PH_Playground
Simple solution for testing and documenting short code snippets.
Version 4.0: improved history, error, and view mode handling Version 3.0: JavaScript editing, Quick console, History files for browsing and loading scripts. Version 2.0: CodeMirror functionality, ajax calls. Tired of opening an editor to test short code snippets for functionality, saving the file and then running it in a browser? PH_Playground provides a simple solution on a single browser page. Enter the code to be tested into the "PHP" or "JS" window and press "Run". The result will appear as Rendered or Raw HTML as you choose. In the background the code has been saved to a log file. ... -
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DeepMind Lab
A customizable 3D platform for agent-based AI research
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. DeepMind Lab provides a suite of challenging 3D navigation and puzzle-solving tasks for learning agents. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning. If you use DeepMind Lab in your research and would like to cite the DeepMind Lab environment, we suggest you cite the DeepMind Lab paper. To... -
Stop Storing Third-Party Tokens in Your DatabaseRolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
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Python Tutorials
Machine Learning Tutorials
...It also provides tutorials on machine learning frameworks and concepts, including TensorFlow, PyTorch, Keras, Scikit-Learn, and reinforcement learning techniques. Each section contains organized code and explanations designed to help learners understand the underlying mechanics of Python and common computational approaches. -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
...Beyond the basics, the project includes examples of convolutional neural networks, recurrent networks, autoencoders, reinforcement learning, generative adversarial networks, and transfer learning workflows. By pairing code examples with conceptual explanations, the tutorials make abstract machine learning ideas accessible and encourage experimentation with TensorBoard visualization and distributed training. -
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FFmpeg libav tutorial
FFmpeg libav tutorial
FFmpeg libav tutorial, learn how media works from basic to transmuxing, transcoding and more. Most of the code in here will be in C but don't worry: you can easily understand and apply it to your preferred language. FFmpeg libav has lots of bindings for many languages like python, go and even if your language doesn't have it, you can still support it through the ffi (here's an example with Lua). We'll start with a quick lesson about what is video, audio, codec and container and then we'll go to a crash course on how to use FFmpeg command line and finally we'll write code, feel free to skip directly to the section Learn FFmpeg libav the Hard Way. ... -
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wav2letter++
Facebook AI research's automatic speech recognition toolkit
...All results reproduction must use Flashlight <= 0.3.2 for exact reproducibility. At least one of LZMA, BZip2, or Z is required for LM compression with KenLM. It is highly recommended to build KenLM with position-independent code (-fPIC) enabled, to enable python compatibility. After installing, run export KENLM_ROOT_DIR=... so that wav2letter++ can find it. This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. Each dataset (test/valid/train) needs to be in a separate file with one sample per line. ... -
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qmol
A simple molecular weight calculator
qmol is a simple molecular weight calculator, available for Linux and Windows, derived from Tomislav Gountchev's KMol. You can enter a formula, (e.g. CH3(CH2)2OH) and get its molecular weight (60.0959 g/mol) and its elemental composition (C3H8O: C 59.96; H 13.42; O 26.62 %). See the features list below for more details or consult the wiki page: https://sourceforge.net/p/qmol/wiki/Home/. For Windows binary and source code see the files section: https://sourceforge.net/projects/qmol/files/ Binary packages (rpm/deb) for openSUSE Leap 15.2-42.2, xUbuntu 20.10-19.10, 17.04, Fedora 33, CentOS 8, Scientific Linux 7, and Debian 10.0-8.0 can be found at: http://download.opensuse.org/repositories/home:/lineinthesand/ -
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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Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive... -
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pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
...The repository walks users through core concepts such as tensors, autograd, neural network modules, convolutional networks, recurrent networks, and transfer learning. Each section includes runnable code examples that progressively increase in complexity, helping learners build intuition while practicing hands-on implementation. Because the tutorials are concise and practical, the project is widely used in classrooms and self-study environments. Overall, it functions as both a learning curriculum and a quick reference for common PyTorch workflows. -
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Tensorflow and deep learning
A crash course in six episodes for software developers
Tensorflow and deep learning repository is an educational deep learning crash course designed to help software developers quickly understand and apply machine learning concepts without requiring advanced academic background. It is structured as a series of guided lessons that combine theoretical explanations, practical examples, and runnable code, allowing learners to build intuition while actively experimenting with models. The repository covers core neural network concepts such as weights, biases, activation functions, and gradient descent, as well as more advanced techniques like convolutional networks, recurrent networks, and reinforcement learning. It includes multiple hands-on projects, such as handwritten digit recognition, airplane detection in images, and text generation using recurrent neural networks, which demonstrate how different architectures solve real-world problems. -
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Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. -
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BookPart2
Interpreter Code for Book Part 2
...The book provides fully working open-source code (also deposited at Github) and explains in plain English how the code works and why certain decisions were made. The book makes liberal use of code throughout the book chapters. Everything is done without the -
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Student rating web tool initially developped by ENSFEA Team ( http://www.ensfea.fr ) . Rating can be OK or NOT OK, or value between 0 and 5 (or more). Authentication can be locally (mysql), ldap or CAS. Code integrated : http://htmlarea.sourceforge.net https://github.com/antennaio/jquery-bar-rating http://esup-phpcas.sourceforge.net https://tcpdf.org
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Data Science at the Command Line
Data science at the command line
Command Line by Jeroen Janssens, published by O’Reilly Media in October 2021. Obtain, scrub, explore, and model data with Unix Power Tools. This repository contains the full text, data, and scripts used in the second edition of the book Data Science at the Command Line by Jeroen Janssens. This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful... -
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Python4Proteomics Course
Python course for Proteomics analysis
Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md -
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Analyze
Draven's Blog
...The repository emphasizes clarity and structured explanations, serving both as a study resource and a reference for engineers exploring system internals. By gathering analyses of diverse projects in one place, analyze helps learners and practitioners bridge the gap between theory and large-scale production code. -
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Integrated Development Environment for some microcontrollers based on 8051(e.g. AT89S8253). Supported languages are Assembly and C. It has its own simulator, assembler, editor and many other tools. See the project web site for more details and the newest updates.
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PRMLT
Matlab code of machine learning algorithms in book PRML
...This package requires Matlab R2016b or latter, since it utilizes a new Matlab syntax called Implicit expansion (a.k.a. broadcasting). It also requires Statistics Toolbox (for some simple random number generator) and Image Processing Toolbox (for reading image data). The code is extremely compact. Minimizing code length is a major goal. As a result, the core of the algorithms can be easily spotted. Many tricks for speeding up Matlab code are applied (e.g. vectorization, matrix factorization, etc.). Usually, functions in this package are orders faster than Matlab builtin ones (e.g. kmeans). Many tricks for numerical stability are applied, such as computing probability in logrithm domain, square root matrix update to enforce matrix symmetry. -
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Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the... -
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ObjectVolume
Calculates Volume, Surface Area & Centroid of a Closed Triangular Mesh
The ObjectVolume program calculates the volume, surface area and centroid of a closed triangular mesh represented in an object file (.obj). The process goes through the list of triangles that make up the surface and, for each triangle, forms a tetrahedron with an external point. The program uses the origin (0,0,0). The volume of the tetrahedron is then calculated. Tetrahedrons with back facing triangles are added and those with forward facing triangles are subtracted yielding the object... -
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Node.JS Course
Materials, slides and other goodies from my Node.JS courses
...Security practices—input validation, secrets handling, and least-privilege IAM—are woven into examples instead of tacked on at the end. The curriculum also covers operational concerns like logging, metrics, health checks, and deployment pipelines so students can ship services with confidence. Code samples are opinionated but accessible, showing how to structure modules, controllers, and tests for clarity and changeability. By the end, participants have a working reference implementation they can adapt for real projects, along with a checklist mindset for production readiness. -
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Neural MMO
Code for the paper "Neural MMO: A Massively Multiagent Game..."
Neural MMO is a massively multi-agent simulation environment developed by OpenAI for reinforcement learning research. It provides a persistent, procedurally generated world where thousands of agents can interact, compete, and cooperate in real time. The environment is inspired by Massively Multiplayer Online Role-Playing Games (MMORPGs), featuring resource gathering, combat mechanics, exploration, and survival challenges. Agents learn behaviors in a shared ecosystem that supports long-term... -
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Pydicom by examples
Basic and intermediate examples of DICOM library with Jupyter
Basic and intermediate examples to read, modify and write DICOM files with Python code using Jupyter - To install Jupyter - https://jupyter.org/install ====== All examples are based on Pydicom. An open source library - https://pydicom.github.io/
