Search Results for "basic-ro" - Page 6
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Showing 482 open source projects for "basic-ro"
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Web Widget
Basic Floating translucent WebBrowser Widget App for Windows.
# Web-Widget 1.6 Basic Floating translucent Widget WebBrowser App for Desktop Unfortunately codecs to support video were not included due to copyright restrictions. -
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Visdom
A tool for creating, organizing, and sharing data visualizations
A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy. Visdom aims to facilitate visualization of (remote) data with an emphasis on supporting scientific experimentation. Broadcast visualizations of plots, images, and text for yourself and your collaborators. Organize your visualization space programmatically or through the UI to create dashboards for live data, inspect results of experiments, or debug experimental code. Visdom has... -
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footswitch3basic
Audio Transcription software for Linux (Gstreamer) with a foot pedal
...There are timestamp macros, along with media player control macros for Play/Pause toggle Jump backwards Jump forwards Slower Faster Normal Audio speed Jump to timestamp This is the "BASIC" version stripped of some of the bells and whistles. As fs3 Basic uses LibreOffice for the transcription input, it means you are working in a world class editor, which can produce output files in most popular formats including MS Word files. -
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footswitch2basic
Audio Transcription software for Linux (Vlc) with a foot pedal
...This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal. Control of the media player from LibreOffice can be via Hotkeys or an integrated toolbar. As fs2 Basic uses LibreOffice for the transcription input, it means you are working in a world class editor, which can produce output files in most popular formats including MS Word files. If moving from Footswitch2 to Footswitch2 Basic, any existing database files will be converted for you. -
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PyNanoLab
data analysis and Visualization with matplotlib
PyNanoLab contains a variety of tools to complete the data analysis, statistics, curve fitting, and basic machine learning application. Visualization in pynanolab is based on matplotlib. The setup tools is desinged to control and set-up all the details of the figure with a GUI. -
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Simple BPG Image viewer
This program allows you to view BPG Images in Windows,Linux and macOS.
bpgviewer =========== This program allows you to view BPG Images in Windows,Linux and macOS (format description: http://bellard.org/bpg/). -
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Reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI
...For each algorithm category, the repository pairs conceptual descriptions with runnable code and often illustrated exercises that help solidify understanding by bridging theory with practice. It’s structured to serve learners progressing from basic tabular methods to function approximation and deep learning extensions, making it suitable for students, researchers, or practitioners exploring reinforcement learning fundamentals. -
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Elephas
Distributed Deep learning with Keras & Spark
Elephas is an extension of Keras, which allows you to run distributed deep learning models at scale with Spark. Elephas currently supports a number of applications. Elephas brings deep learning with Keras to Spark. Elephas intends to keep the simplicity and high usability of Keras, thereby allowing for fast prototyping of distributed models, which can be run on massive data sets. Elephas implements a class of data-parallel algorithms on top of Keras, using Spark's RDDs and data frames. Keras... -
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PC-BASIC - a GW-BASIC emulator
A free, cross-platform emulator for GW-BASIC, PCjr & Tandy BASIC
PC-BASIC is a free, cross-platform interpreter for GW-BASIC, BASICA, PCjr Cartridge Basic and Tandy 1000 GWBASIC. -- This page is an archive and hosts the legacy version 1.2 of PC-BASIC only. -- For documentation and the latest releases, please see the official homepage: www.pc-basic.org Four source code, discussions and to report bugs please see the GitHub project page https://github.com/robhagemans/pcbasic -
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ceph-ansible
Ansible playbooks to deploy Ceph, the distributed filesystem
Ansible playbooks for Ceph, the distributed filesystem. This project assumes you have a basic knowledge of how Ansible works and have already prepared your hosts for configuration by Ansible. After you’ve cloned the ceph-ansible repository, selected your branch and installed Ansible then you’ll need to create your inventory file, playbook and configuration for your Ceph cluster. The Ansible inventory file defines the hosts in your cluster and what roles each host plays in your Ceph cluster. ... -
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Download Folder Sorter (Script)
Sort Your Downloaded Files
Sort Documents, Videos, Music & Pictures In Your Home Directory Download Folder & Place Them In Their Corresponding Folders. This script runs in the background & shuts down after it completes. If you want an basic output, you will need to use the CMD / Terminal to run the script. A log file will be created once completed Any files that already exists are skipped & left in your Download Folder. Requirements: - Python 3.8 or newer How To Run The Program: - Windows Users: Just Run The DLF Sorter.py File (No Output Messages) Or Run In CMD Window By Navigating To Where The File Is Located & Type "python3 DLF\ Sorter.py " Without The Quotes. ... -
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The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
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nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
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Walrus
Lightweight Python utilities for working with Redis
...In addition to all the features in redis-py, walrus adds support for some newer commands, including full support for streams and consumer groups. Persistent structures implemented on top of Hashes. Supports secondary indexes to allow filtering on equality, inequality, ranges, less/greater-than, and a basic full-text search index. The full-text search features a boolean search query parser, porter stemmer, stop-word filtering, and optional double-metaphone implementation. -
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LaTeX Cookbook
A comprehensive LaTeX template with examples for theses, books, etc.
This repo contains a LaTeX document, usable as a cookbook (different "recipes" to achieve various things in LaTeX) as well as a template. The resulting PDF covers LaTeX-specific topics and instructions on compiling the LaTeX source. -
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pyTorch Tutorials
Build your neural network easy and fast
pyTorch Tutorials is an open-source collection of hands-on tutorials designed to teach developers how to build neural networks with the PyTorch framework. 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. ... -
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OpenPRED-Perú
OpenPRED-Perú es una implementación de OpenPRED para Perú
OpenPRED-Perú es una herramienta de simulación para apoyar el proceso de planificación de redes eléctricas de distribución, la cual se encuentra implementada en un documento de planilla de cálculo de LibreOffice Calc. Utiliza las funciones Macros de LibreOffice Basic para desarrollar la lógica del procedimiento, conjuntamente con módulos de software Open Source desarrollados en el marco del proyecto OpenREiD (c) (Software de simulación y optimización de redes eléctricas de distribución), del Instituto de Energía Eléctrica (IEE), UNSJ - CONICET, San Juan - Argentina. Además, integra la herramienta Open Source OpenDSS para el cálculo y simulación de redes de distribución en su versión DLL. ... -
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Deep learning time series forecasting
Deep learning PyTorch library for time series forecasting
Example image Flow Forecast (FF) is an open-source deep learning for time series forecasting framework. It provides all the latest state-of-the-art models (transformers, attention models, GRUs) and cutting-edge concepts with easy-to-understand interpretability metrics, cloud provider integration, and model serving capabilities. Flow Forecast was the first time series framework to feature support for transformer-based models and remains the only true end-to-end deep learning for time series... -
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ELECHEM & FARADAY (Electrochemical)
Simulation tool for electrochemical / electroplating parameters
FARADAY and ELECHEM are the two portable computer programs, find useful for electrochemical researchers, electroplating units, battery as well as supercapacitor industries, process engineers, materials scientists & engineers, electroplaters, hobbyists, and students to evaluate various electrochemical deposition parameters. These computational tools can be used to simulate various electrochemical deposition data or electroplating parameters for metals, alloys, composites as well as energy... -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. Some models force input data to be particular type during prediction phase in their native Python libraries. ... -
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Basic Blind Chess
Blind Chess using Taiwan rule
Blind Chess also known as "Dark Chess" (暗棋) or "Banqi" or Half Chess , is a two-player Chinese board game played on a 4x8 grid, or half of the xiangqi (Chinese Chess) board. This application is using Taiwan rule. AI is using basic minimax tree structure and some rules. Advanced algorithm such as Upper Confidence bounds applied to Trees and Monte Carlo Tree Search are NOT used. This app is single player vs computer only. For English user, Christakis Giorgios made Software Requirements Specification(pdf file), it will help anyone that downloads this application to understand basic blind chess and use it. ... -
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XRD CUBIC
Simulate crystal cell length (a), Miller indices {h, k, l}, d-spacing
This is a basic computer program (coded in Python) to simulate possible unit crystal cell length (a), Miller indices - {h, k, l} and interplanar spacing (d) for cubic crystals from observed (experimental) X-ray diffraction (XRD) angle, 2-theta. It can simulate all these possible crystal lattice parameters for cubic crystal systems between the given 2–theta values within the range of specified cell length (a) limits. 1. -
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e-Dokyumento
e-Dokyumento is web-based Document Management System (DMS)
e-Dokyumento is opensource web-based Document Management System (DMS) A Document Management which automates the basic office document workflow such as receiving, filing, routing, and approving through capturing (scanning), digitizing (OCR Reading), storing, tagging, and electronically routing and approving (e-signature) of electronic documents. # Demo : https://e-dokyumento.herokuapp.com/ https://edokyu.seillig.com/ (refer to Readme.md for the accounts) #Dockerhub: https://hub.docker.com/r/nelsonmaligro/edokyumento # Install using the ISO: 1. ... -
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Machine Learning PyTorch Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Initially, this project started as the 4th edition of Python Machine Learning. However, after putting so much passion and hard work into the changes and new topics, we thought it deserved a new title. So, what’s new? There are many contents and additions, including the switch from TensorFlow to PyTorch, new chapters on graph neural networks and transformers, a new section on gradient boosting, and many more that I will detail in a separate blog post. For those who are interested in knowing...
