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El proyecto se orienta hacia el desarrollo de una herramienta predictiva para el ajedrez, empleando modelos de red neuronal recurrente (RNN) implementados en TensorFlow. La recopilación de datos se realizó mediante técnicas de web scraping desde la página https://www.chess-poster.com.
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AIConvert Online is a suite of advanced AI-powered tools designed to enhance digital media processing. Our platform offers a variety of features including art generation, image transformations (line drawing, sketch, painting, and portrait), image descriptions, and photo editing tools (photo restoration, face swapping, background removal, and photo to cartoon conversion). Explore our tools to transform your images and photos with ease and precision.
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GitLab is an open source end-to-end software development platform with built-in version control, issue tracking, code review, CI/CD, and more. Self-host GitLab on your own servers, in a container, or on a cloud provider.
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Get started DVC project (NLP, random forest)
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programas para medición de variables agro-hidrológicas. Datos obtenidos de esas mediciones y su correspondiente análisis.
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IBSim / VirtualLab
Apache License 2.0Series of simulations to replicate laboratory experiments as part of a 'digital twin' initiative between Swansea University and the UK Atomic Energy Authority. Scripts are mostly in python to run the various modules which this platform integrates together (e.g., Salome, Code_Aster, ERMES, CAD2Vox, gvxr, CIL).
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Waser Technologies / Technologies 🧰 / Assistant
MIT LicenseYour very own Assistant. Because you deserve it.
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Bruno Mahé / Genetics4J
Apache License 2.0Genetics Algorithms and Genetic Programming library. https://genetics4j.org
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Data Science / Machine Learning Pipeline component for training and deploying ML models using CI
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bandicoot-lib / bandicoot-code
Apache License 2.0Bandicoot: user-friendly C++ library for GPU accelerated linear algebra, integrating with CUDA and OpenCL
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This is how world work, so i do not take any respond what u all said.
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Simulation of a real hospital scenario with a ML model in production
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This project aims to develop a robust and interpretable machine learning model for early detection of cyberattacks within network systems. By analyzing network traffic data and identifying patterns associated with malicious activities, the model strives to improve network security and prevent potential cyber threats.
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