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Showing 3 open source projects for "cpu"
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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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Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Arduino HomeKit ESP8266
Native Apple HomeKit accessory implementation for the ESP8266 Arduino
...Lower versions may compile with errors. For ESP32, see Arduino-HomeKit-ESP32. The HomeKit running on ESP32 has a GREAT PERFORMANCE which is 10x faster than ESP8266. You should set the ESP8266 CPU to run at 160MHz (at least during the pairing process), to avoid the tcp-socket disconnection from the iOS device caused by a timeout. -
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ClckBotCreator
Write bots without knowing programming languages
This program was originally conceived as an autoclicker, but soon turned into a program to create bots for Windows. It has 4 commands(mouse clicking, setting cursor position, timer, keyboard clicking) with which you can automate any process. Also, there are a couple of tools in it that will help you comfortably write bots. Version of app is 0.2.1 App run as administrator. Syntax: 1.click: 'left' or 'right' mouse button 2.setc: x - mouse position y - mouse... -
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Aquila
Software Architecture for Cognitive Robotics
Aquila 2.0, an open-source cross-platform software architecture for cognitive robotics that makes use of independent heterogeneous CPU-GPU modules with loosely coupled dynamically generated graphical user interfaces.
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