Search Results for "windows scripts" - Page 5
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Showing 214 open source projects for "windows scripts"
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Redisbook
Manuscript source code for Redis Design and Implementation
Redisbook contains the original manuscript source for the first edition of Redis Design and Implementation. The Chinese-language book explains how Redis works internally rather than focusing only on everyday command usage. Its material is organized around internal data structures, Redis object types, server internals, compression structures, and major database features. Dedicated sections explore topics such as persistence, transactions, Pub/Sub, networking, and other implementation details.... -
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OSX Serial Generator
Generate complete sets of Serial Numbers for OSX-KVM, Docker-OSX
OSX Serial Generator is a shell-based toolkit for generating valid-looking macOS serial numbers, hardware UUIDs, and board serials for use in virtualized macOS environments such as OSX-KVM, Docker-OSX, and OpenCore-based Hackintosh setups. It is positioned for good-faith security and Apple bug bounty research, where having realistic device identifiers is necessary to reproduce issues or test services that validate Apple hardware details. The project provides scripts and configuration... -
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Statistical Rethinking 2024
This course teaches data analysis
The 2024 repository is the most recent version of the course, reflecting ongoing refinements in pedagogy, statistical modeling techniques, and coding practices. It provides updated notebooks, R scripts, and model examples, some streamlined and restructured compared to previous years. The 2024 repo also highlights the transition toward more robust Stan models and integration with newer Bayesian workflow practices, continuing to emphasize accessibility for learners while modernizing the tools.... -
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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... -
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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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
Penetration-Testing-Tools is a curated collection of tools, scripts, cheatsheets and reference materials assembled to help security researchers, red-teamers, and students perform hands-on penetration testing across multiple domains. The repository groups resources by discipline — reconnaissance, web application testing, network exploitation, privilege escalation, post-exploitation and reporting — so users can quickly find relevant utilities and walkthroughs. Many entries include short usage... -
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fastMRI
A large open dataset + tools to speed up MRI scans using ML
fastMRI is a large-scale collaborative research project by Facebook AI Research (FAIR) and NYU Langone Health that explores how deep learning can accelerate magnetic resonance imaging (MRI) acquisition without compromising image quality. By enabling reconstruction of high-fidelity MR images from significantly fewer measurements, fastMRI aims to make MRI scanning faster, cheaper, and more accessible in clinical settings. The repository provides an open-source PyTorch framework with data... -
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DeepMind Research
Implementations and code to accompany DeepMind publications
This repository collects reference implementations and illustrative code accompanying a wide range of DeepMind publications, making it easier for the research community to reproduce results, inspect algorithms, and build on prior work. 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,... -
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Random fun
Notebooks and various random fun
Random Fun is a personal collection of experimental scripts and Jupyter notebooks covering machine learning, mathematics, neural networks, and programming ideas. It is not a single application, but a sandbox for compact demonstrations and exploratory work. Included notebooks examine topics such as MicroGrad-style autodiff, mixture density networks, evolution strategies, floating-point behavior, and KNN versus SVMs. Several notebooks explore minimal character-level recurrent neural networks... -
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QScript
Expression and algorithm evaluator (built with Java)
V2.1.1 compatible with Processing 2 & 3. A powerful yet simple to use scripting language that can be used to evaluate expressions and simple algorithms. In fact it is the only evaluator I know that supports complex numbers and vectors without the need for additional configuration. The emphasis is on simplicity and extensibility and the website provides detailed guides to help you get the most of QScript. It supports variables, selection (IF-THEN-ELSE) and repetition (WHILE-WEND and... -
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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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Proteus Model Builder
GUI for training of neural network models for GuitarML Proteus
...GuitarML set up a Google Colab script to give people the Opportunity to train their own models online. Still, I thought that things could be easier, and I wanted a faster way to work with the python scripts. So I automated some things on my Windows 10 machine. I assume, that most musicians use this OS. This repository contains a bunch of Windows batch scripts and a freepascal based GUI solution that controls everything from a single window! -
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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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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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YOLOV4 Pytorch
This is a source code for YoloV4-pytorch that can be used to train you
YOLOV4 Pytorch is a PyTorch implementation of the YOLOv4 object detection model for training and running custom detection systems. 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... -
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Official YOLOv7
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art
YOLOv7 is the official implementation of the paper “YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors.” 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... -
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QuickParcelProject
Create a project with Parcel, Sass, React and Jest quickly.
QuickParcelProject use Parcel to build Web app with Sass and React modules. The Jest module is used to test your scripts. CSS generated files, use Sass and AutoPrefixer module. JS and CSS files are minified in 'production' mode. -
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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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Faster-Rcnn
This is a pytorch implementation library of faster-rcnn
Faster-Rcnn is a PyTorch implementation of the Faster R-CNN two-stage object detection model. 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... -
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mPDF
PHP library generating PDF files from UTF-8 encoded HTML
mPDF is a PHP library that generates PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files ‘on-the-fly’ from his website, handling different languages. It is slower than the original scripts e.g. HTML2FPDF and produces larger files when using Unicode fonts, but support for CSS styles etc. and has been much enhanced. Supports almost all languages including RTL (Arabic and Hebrew), and CJK (Chinese-Japanese-Korean). Nested block-level elements (e.g.... -
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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... -
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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). The repo functions as a... -
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dat.GUI
dat.gui is a lightweight controller library for JavaScript
A lightweight graphical user interface for changing variables in JavaScript. The easiest way to use dat.GUI in your code is by using the built source at build/dat.gui.min.js. These built JavaScript files bundle all the necessary dependencies to run dat.GUI. If you're using a server with a Content Security Policy in place that blocks 'unsafe-inline', you will have problems when dat.gui.js tries to inject style information. To get around this, load 'build/dat.gui.css' as an external style... -
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FeedEk jQuery RSS/ATOM
FeedEk jQuery RSS/ATOM Feed Plugin
FeedEk is a jQuery plugin for parsing and displaying RSS and Atom feeds. You can obtain feeds easily from any domain. No need for server-side scripts. Feed API is used for fetching RSS/Atom feed data.
