Search Results for "multi-system" - Page 77
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Showing 7029 open source projects for "multi-system"
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OpsManage
Automated operation and maintenance platform
...Programming language, Python3.6 + HTML + JScripts. Front-end web framework, Bootstrap. Backend Web Framework, Django. Backend Task Framework, Celery + Redis. Programming language is Python 3.6. Operating System is CentOS 6+. Ansible version 2.6+. Deployment platform and node server Rsync 3+. -
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EnCodec
State-of-the-art deep learning based audio codec
...It employs a convolutional encoder–decoder architecture trained with perceptual loss functions that optimize for human auditory quality rather than raw waveform distance. The model can operate in real time and supports variable bandwidths, bitrates, and multi-band audio. Encodec has applications in speech and music compression, generative modeling, and efficient data transmission for communication systems. The repository includes pretrained checkpoints, PyTorch inference code, and examples for integrating Encodec as a module in downstream generative or streaming systems. -
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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 of treating them equally. ... -
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IMPORTANT NOTE: The PyCmd project has moved to GitHub: https://github.com/horeah/PyCmd PyCmd is a smart command prompt extension for Windows' cmd.exe; its purpose is to emulate a few power features of UNIX shells (decent Tab-completion, persistent history, etc.)
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LSTMs for Human Activity Recognition
Human Activity Recognition example using TensorFlow on smartphone
...The project uses the well-known Human Activity Recognition dataset derived from smartphone accelerometer and gyroscope signals. Through the use of sequential neural network architectures, the system learns patterns in motion data that correspond to activities such as walking, sitting, standing, or climbing stairs. The repository includes data preprocessing scripts, neural network architecture definitions, and training pipelines that allow researchers to reproduce and modify the experiments. It serves as an educational example of how deep learning models can process temporal sensor signals for pattern recognition tasks. -
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Custom ROM by IndieRock00
Custom ROM for Redmi 4 Prime (MARKW)
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autotyper
Best autotyper ever
Best and free autotyper ever. -
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FormaVid
Small Business Appliance
The FormaVid Small Business Appliance https://formavid.org is designed to integrate a content management system (CMS), an issues tracker and an invoicing application into a single, well constructed, offering. It is an excellent starting point for any developer(s) wishing to support the CMS or any of the other components, including the appliance itself. All components are stable, open source and well supported. The appliance is built using scripts so no hidden "monkey business" and you can choose a "compatible base distro" based on your needs: familiarity; performance; security; usability; etc. ... -
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Filecatman
A file categorization management program.
A file categorization management program, designed to make sorting, categorizing and accessing data simple and easy. -
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opsi
open source client management system, software deployment
opsi is a Client Management System for Windows and Linux clients based on Linux servers. opsi is used for automatic OS installation, software depolyment, hard- and software inventory, distributed software depots. -
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Diems - CodeShine
Web application for posting, submitting, and evaluating assignments
CodeShine (a part of Di website) - is an application for posting, submitting, and evaluating assignments. As a whole, 'Di' is a shorthand for Deogiri Institute of Engineering and Management Studies, Aurangabad 431001, Maharashtra, India. -
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HelenOS
A microkernel-based multiserver operating system written from scratch.
HelenOS is a portable microkernel-based multiserver operating system written from scratch. It decomposes key operating system functionality such as file systems, networking, device drivers and graphical user interface into a collection of fine-grained user space components that interact with each other via message passing. A failure or crash of one component does not directly harm others. HelenOS is therefore flexible, modular, extensible, fault tolerant and easy to understand. ... -
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agglo
Multi facets CASE/AGL for easy project developments
Agglo is a CASE (Computer Aided Software Engineering) or AGL (Atelier Génie Logiciel), whose aim is to facilitate installation ans use of various tools (either existing opensource tools, or agglo tools), in several facets of project development: - requirements management - unit tests - automated integration tests - toolkit for various languages (cpp, c, python, shell, xsl) other facets are to come ultimately: - coverage tests - planification - integration with hudson - code... -
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dirsearch
Web path scanner
An advanced command-line tool designed to brute force directories and files in webservers, AKA web path scanner. Wordlist is a text file, each line is a path. About extensions, unlike other tools, dirsearch only replaces the %EXT% keyword with extensions from -e flag. For wordlists without %EXT% (like SecLists), -f | --force-extensions switch is required to append extensions to every word in wordlist, as well as the /. To use multiple wordlists, you can separate your wordlists with commas.... -
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Text Classification
All kinds of text classification models and more with deep learning
...It provides a broad set of baseline architectures that can be used to study, train, compare, and adapt classification approaches. The project supports both single-label and multi-label classification, making it useful for sentence-level and document-level tasks. It includes classic and advanced models such as fastText, TextCNN, BERT, TextRNN, RCNN, hierarchical attention networks, seq2seq attention, Transformers, dynamic memory networks, entity networks, ensembles, and boosting methods. The repository also includes training, prediction, testing, preprocessing, sample data, cached data guidance, and performance comparison notes. ... -
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OpenOffice.org Utility Library
Library modules for creating ODF documents.
OpenOffice.org Utility Library modules for creating Open Document Format (ODF) documents which can be read by Office Suites including OpenOffice.org, LibreOffice.org, and Microsoft Office. Currently, ooolib-python can create Calc spreadsheet ODS documents. These documents include many features including: - Create multiple table spreadsheets - Cells with text, numbers, dates, formulas - Ability to use built-in styles - Ability to create automatic styles (ie. bold, italics,... -
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Mouse Keyboard Clicker Holder
Autoclicker and holder for keyboard keys and mouse buttons
Autoclicker and holder for mouse buttons and keyboard keys. A small program to autoclick or hold a keyboard key or a mouse button. Can be downloaded as .exe as well as the original .py file. The source code is written in Python with alongside PySide6 and Pynput. The program is distributed under the Unlicense ( https://unlicense.org/ ) -
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Salix is a linux distribution based on Slackware that is simple and easy to use. Salix aims to be completely backwards compatible with Slackware, so Slackware users can benefit from Salix repositories.
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BEVFormer
Implementation of BEVFormer, a camera-only framework
3D visual perception tasks, including 3D detection and map segmentation based on multi-camera images, are essential for autonomous driving systems. In this work, we present a new framework termed BEVFormer, which learns unified BEV representations with spatiotemporal transformers to support multiple autonomous driving perception tasks. In a nutshell, BEVFormer exploits both spatial and temporal information by interacting with spatial and temporal space through predefined grid-shaped BEV queries. ... -
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Solo Miner
Solo Miner V2
New Version Solo Miner with High Speed for mining Bitcoin With all System -
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The_Deck_Linux
Portable Penetration Testing Operating System
It is an Portable Penetration Testing Operating System designed for Beagle Bone AI. It is an debian based operating system fully packed with all latest Hacking Tools. The Root file system used in this Deck Linux is Ubuntu 20.04 LTS. It can be installed in Beagle Board AI and can use as a replacement for Laptop, Desktop. It can be placed on a drone too. It has a pre-installed MeshDeck (written by Philip Polstra) so it can be runned in a ZigBee network. -
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Menagerie
A collection of high-quality models for the MuJoCo physics engine
MuJoCo Menagerie, developed by Google DeepMind, is a curated collection of high-quality simulation models designed for use with the MuJoCo physics engine. It serves as a comprehensive library of accurate and ready-to-use robotic, biomechanical, and mechanical models, ensuring users can perform reliable simulations without having to build or tune models from scratch. The repository aims to improve reproducibility and quality across robotics research by providing verified models that adhere to... -
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Gib
Gib Is the Best agnostic package manager extender for Unix-like OS's.
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
...Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series data (forecasting). The newest features in Auto-PyTorch for tabular data are described in the paper "Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL" (see below for bibtex ref). Details about Auto-PyTorch for multi-horizontal time series forecasting tasks can be found in the paper "Efficient Automated Deep Learning for Time Series Forecasting" (also see below for bibtex ref). -
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Apple Neural Engine (ANE) Transformers
Reference implementation of the Transformer architecture optimized
ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths....