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Showing 3 open source projects for "program"
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Cloud tools for web scraping and data extractionAutomate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
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Mice MX OS speech to text Voice Control
Mice speech to text with MX Cinnamon OS ISO
...The distribution uses the Cinnamon desktop interface, which is configured to be operated using voice commands and outputs. The user interface and the control of your own devices and home automation systems can be customized and extended. The voice control program MiceStTM.py was developed to enable easy adaptation to other languages. However, only German settings are currently implemented. category: System commands comment: Screen grid trigger: Display screen (Ras.*|Grid)* terminal_command: /opt/micesttm/read-aloud/screen_grid.py & sleep 1 && xdotool search --name "screen grid" windowactivate intern_command: tts: Screen grid for the mouse click was selected. -
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QChartist
Free and Open Source Technical Analysis Charting Software
...Its purpose is to provide a complete set of tools to perform technical analysis on charts and data. It helps to make forecasts mainly for markets but can also be used for weather or any quantifiable data. The program is flexible and its functionalities can be easily extended. You can draw geometrical shapes on your charts or plot programmable indicators from your data. It is also possible to filter or merge data. I got a little inspired from MT4 allowing a fairly easy portability of programmed indicators from MT4 to QChartist. It is now faster and much more professional thanks to the use of a C++ layer (used mostly for calculations) over the standard Basic layer (used mostly for the GUI interface). ... -
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brainCL chung is a small program with dll to compute 3 to 4 layers neural networks with bulk training learn input data to bulk output data using openCL (cpu or gpu) acceleration written in easy fast freebasic
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