Search Results for "scripts" - Page 7
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887 projects for "scripts" with 2 filters applied:
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Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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$300 Free Credits for Your Google Cloud ProjectsLaunch your next project with $300 in free Google Cloud credits—no strings attached. Test, build, and deploy without risk. Use your credits across the entire Google Cloud platform to find what works best for your needs. After your credits are used, continue with always-free tier services. Only pay when you're ready to scale. Sign up in minutes and start exploring.
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BinaryPHP is a PHP To C++ converter which will convert PHP scripts into C++ equivalents ready to be compiled using any ANSI compiler.
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php-wasm
PHP in Browser, powered by WebAssembly
php-wasm is a WebAssembly-powered runtime that enables PHP to run entirely inside the browser or JavaScript environments without requiring a traditional server setup. It compiles PHP into WebAssembly and exposes it through JavaScript APIs, allowing developers to execute PHP scripts directly in web pages, service workers, or Node.js contexts. One of its most distinctive capabilities is the introduction of a CGI-style runtime that mimics how PHP operates under web servers like Apache or Nginx, enabling full HTTP request handling directly in the browser. This allows developers to build fully client-side applications that behave like server-rendered PHP sites, including support for routing, AJAX requests, and dynamic page generation. ... -
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Statistical Rethinking 2023
Statistical Rethinking Course for Jan-Mar 2023
The 2023 edition modernizes and expands on the same curriculum, adjusting exercises and code for newer versions of R, Stan, and supporting packages. It continues to provide scripts for lectures and tutorials, while integrating refinements to examples, notation, and computational workflows introduced that year. Compared with 2022, some models are rewritten for clarity, and teaching materials reflect refinements in McElreath’s evolving presentation of Bayesian data analysis. Students following the 2023 lecture videos use this repository as their coding reference. ... -
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SmallBASIC is a fast and easy to learn BASIC language interpreter ideal for everyday calculations, scripts and prototypes.
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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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kscript
Scripting enhancements for Kotlin
Enhanced scripting support for Kotlin on *nix-based and Windows systems. Kotlin has some built-in support for scripting already, but it is not yet feature-rich enough to be a viable alternative in the shell. -
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Penetration Testing Tools
A collection of more than 170+ tools, scripts, cheatsheets
...Many entries include short usage notes, common command examples, and links to upstream projects or writeups, turning the repo into both a toolbox and a practical learning library. The collection emphasizes tooling that is easy to run in lab environments and often points to small scripts and one-file utilities that accelerate common tasks like service discovery, credential harvesting, or privilege checks. -
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DpdlScripting
DPDL (Dynamic Packet Definition Language) is a small framework library
...The small applications can run on Java compliant platforms like Java ME, J2ME and on small embedded systems and microcontrollers. This project aims at developing small scripts and applications written in Dpdl scripting language. For more info visit the official Dpdl website: http://www.dpdl.biz -
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DeepMind Research
Implementations and code to accompany DeepMind publications
...The top level organizes many paper-specific directories across domains such as deep reinforcement learning, self-supervised vision, generative modeling, scientific ML, and program synthesis—for example BYOL, Perceiver/Perceiver IO, Enformer for genomics, MeshGraphNets for physics, RL Unplugged, Nowcasting for weather, and more. Each project folder typically includes its own README, scripts, and notebooks so you can run experiments or explore models in isolation, and many link to associated datasets or external environments like DeepMind Lab and StarCraft II. The codebase is primarily Jupyter Notebooks and Python, reflecting an emphasis on experimentation and pedagogy rather than production packaging. -
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The Odin System is a software build system that provides a simpler, more powerful, more efficient, and more reliable replacement for Make. It computes complete dependency information automatically, making the build scripts shorter and easier to manag
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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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libquickmail
C library for sending e-mail (with attachments) from C/C++
...The library can also be used to just create a multipart MIME message body. Also comes with a command line application (quickmail) for sending mails (mutiple attachments supported) from command line or scripts. Cross-platform. Binary packages available for Windows (32-bit and 64-bit). -
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Automated_Quiz
A Shell Script for Quizzing the whole class of students and log result
...LATEST UPDATE : The quiz.sh script is updated now to perform for the whole class of students and log the results into the Students_Score.txt file. Also see this collection of bash scripts : https://sourceforge.net/projects/bash-shell-scripting-in-minute/ and this script : https://sourceforge.net/projects/command-output-to-html-table/ -
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Ofront+
Oberon family of languages to C translator for ARM, x64 and x86 archit
...Full error analysis is performed on the Oberon input program and in case of no errors up to three files are generated as output. Ofront+ does not invoke the C compiler or linkage editor. This may be done in separate shell scripts or make files and is inherently dependent on the C compiler and linkage editor being used. Although normally not read by the user, the C code generated by Ofront+ is kept as readable as possible, nicely formatted, should not produce any C compiler error messages or warnings and is tuned for efficient execution. In fact, an Oberon program translated by Ofront+ can be expected to execute as fast and read as well as an equivalent hand-coded C program. ... -
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quantitative
Quantized transactions python3
The “quantitative” repository by Jack-Cherish is a tutorial-style codebase for quantitative trading written in Python — essentially a learning resource that guides users through building algorithmic trading strategies step by step. It’s organized as a sequence of lessons (lesson1, lesson2, etc.), making it approachable for learners who want to understand both theory and practice in quantitative finance. The repo is evidently tied to a popular video series (on Bilibili) that reportedly drew... -
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Name-That-Hash
Identify MD5, SHA256 and 300+ other hashes
Name-That-Hash is a modern hash identification system that tells you what type of hash you are looking at, supporting MD5, SHA-256, and more than 300 other hash types. It is designed as a successor and improvement to older tools like HashID and Hash-Identifier, focusing on up-to-date hash databases and better usability. One of its core ideas is popularity-aware ranking: when you feed in a hash, it prioritizes likely real-world types such as NTLM over obscure ones like Skype hashes, instead... -
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node-windows
Windows support for Node.JS scripts (daemons, eventlog, UAC, etc).
node-windows is a utility for Windows services that enables Node.js scripts to run as native Windows services, providing functionalities like event logging, service management, and process monitoring. -
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Android Script Creator
Create\Open Android update-script, Fast and Easily.
This program is designed to simplify the creation of scripts (update.zip) for Android Can not download? - https://sites.google.com/view/osasc/download [Requirements for Windows] Systems: Windows XP/Vista/7/8/8.1/10 x86\x64 Hard disk space: 200 mb Installed Java JDK (is not necessarily) Not a long path to the program (Java will stop signing) [Requirements for Linux \ MAC OS \ Solaris] (and anywhere can run Wine) You must install Wine, from the site www.winehq.org or from application manager Hard disk space: 150 mb Not a long path to the program (Java will stop signing) Post on XDA-Developers portal - http://www.xda-developers.com/easily-create-an-updater-script-using-a-windows-based-tool/ DevDB Project XDA-Developers - http://forum.xda-developers.com/showthread.php?... -
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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
...The repository is structured around practical workflows, including training, prediction, evaluation, anchor generation, model configuration, and dataset annotation utilities. It supports VOC-style datasets and includes scripts for prediction, mAP evaluation, FPS testing, video prediction, batch prediction, and heatmap generation. The project added multi-GPU training, seed settings for reproducible results, adaptive learning rate behavior based on batch size, and both step and cosine learning rate schedules. It also supports Adam and SGD optimizer choices, image cropping, adjustable parameters, and extensive code comments. ... -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
...It is a PyTorch-based object detection project focused on high speed and strong accuracy for real-time computer vision. The repository provides model definitions, training scripts, testing tools, inference examples, pretrained weights, and deployment-oriented materials. YOLOv7 introduced training-time improvements that raise accuracy without increasing inference cost, which is why the project became important in real-time detection research. It supports multiple model sizes and related tasks such as object detection and instance segmentation through associated branches or weights. ... -
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pushdeer
Push notification system to send messages
pushdeer is a lightweight, self-hostable push notification system designed to make it easy for individuals and small services to send messages to their own devices. It consists of a server component with a simple HTTP API, a client app for receiving notifications, and optional web/admin front ends for managing keys and devices. The design favors minimal setup and free deployment options so you can run it on inexpensive infrastructure or serverless platforms. Messages can include plain text... -
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100+ Python Projects Challenge
100+ Python Projects Challenge
100+ Python Projects Challenge is a project-based Python learning repository focused on building many small applications and utilities. Instead of only practicing isolated syntax, it encourages learners to apply Python through complete mini-projects. The challenges span practical scripts, beginner applications, automation ideas, games, data tasks, and other hands-on exercises. This makes it useful for users who want to build a portfolio of small programs while reinforcing programming fundamentals. The repository is aimed at learners who benefit from doing, modifying, and expanding examples. It is best used as a progressive challenge list for turning Python knowledge into visible working projects. -
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pyTorch Tutorials
Build your neural network easy and fast
...It covers the fundamentals of PyTorch from basic tensor operations to constructing full neural network models, making it suitable for beginners and intermediate learners alike. The project is structured around clear, executable Python scripts and Jupyter notebooks that demonstrate regression, classification, convolutional networks, recurrent networks, autoencoders, and generative adversarial networks, which gives learners practical exposure to real machine learning tasks. Each example explains PyTorch’s dynamic computation graph, optimization techniques, and core abstractions in a way that is accessible and reproducible. ... -
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Job-DSL Gradle Example
An example Job DSL project that uses Gradle for building and testing
This is a sample project showing how to use the Jenkins Job DSL plugin in a Gradle-based setup. It provides example DSL scripts that generate Jenkins jobs, and integrates them into a Gradle build for automated job generation, testing, and validation. Configurable job definitions (folders, branches, parameters). Tests for DSL scripts to validate generated XML. Integration with Gradle tasks for generation & testing. Support for seeding Jenkins or updating via REST API. -
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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
...It is designed for training and evaluating detectors on VOC-format datasets, including VOC07+12 and custom datasets arranged with VOC-style annotations and images. The repository includes scripts for training, prediction, evaluation, annotation generation, and model summary inspection. It supports backbone options through pretrained VGG and ResNet weights, making it useful for comparing feature extractors. The project also includes learning rate scheduling through step and cosine methods, optimizer choices between Adam and SGD, adaptive learning rate behavior based on batch size, image cropping, FPS testing, video prediction, and batch prediction. ... -
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Unet
Source code for unet-pytorch, which can train its own model
Unet-pytorch is a PyTorch implementation of U-Net for semantic segmentation workflows. The repository is built around training, prediction, and mIoU evaluation for VOC-style segmentation data and medical-style datasets. It includes scripts for general training, medical dataset training, prediction, annotation handling, model summaries, and evaluation. The project supports multiple backbones, data processing utilities, extensive comments, and adjustable training parameters. Its README notes that U-Net is better suited to datasets with fewer features and shallow visual structures, such as medical image segmentation, rather than complex VOC-style scenes. ... -
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Statistical Rethinking 2022
Statistical Rethinking course winter 2022
This repository hosts the 2022 version of the Statistical Rethinking course. It contains course materials such as R scripts, notebooks, and worked examples aligned with McElreath’s textbook. The code emphasizes Bayesian data analysis using R, the rethinking package, and Stan models. It includes lecture code files, example datasets, and structured exercises that parallel the topics covered in the lectures (probability, regression, model comparison, Bayesian updating).
