
Basil Alias
basil121ert
AI & ML interests
AI and ML including NLP, deep learning and coding. Artificial intelligence being included with Python functions and variables are important for tasks management, and efficient IT processing ongoing.
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Hi3DGen Full Tutorial With Ultra Advanced App to Generate the Very Best 3D Meshes from Static Images : https://youtu.be/HjbD20B2C1g
Tutorial Link : https://youtu.be/HjbD20B2C1g
Hi3DGen is the newest state of the art image to 3D mesh generation model. In this tutorial I will show you step by step how to install and use this amazing open source AI model to generate the very best 3D meshes from static images and use in your projects.
🔗Follow below link to download the zip file that contains App installer - the one used in the tutorial ⤵️
▶️ https://www.patreon.com/posts/The-App-Installer-130766890
🔗 Requirements - Python, Git, CUDA, C++, FFMPEG, MSVC installation tutorial ⤵️
▶️ https://youtu.be/DrhUHnYfwC0
🔗 SECourses Official Discord 10500+ Members ⤵️
▶️ https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
🔗 Stable Diffusion, FLUX, Generative AI Tutorials and Resources GitHub ⤵️
▶️ https://github.com/FurkanGozukara/Stable-Diffusion
🔗 SECourses Official Reddit - Stay Subscribed To Learn All The News and More ⤵️
▶️ https://www.reddit.com/r/SECourses/
🔗 SUPIR Image Upscaling App Tutorial for Upscaling Images With Really Adding New Details ⤵️
▶️ https://youtu.be/OYxVEvDf284
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📢 Duality's Synthetic-to-Real Object Detection Kaggle competition is back!👏
Sign up here ➡️ ➡️ https://www.kaggle.com/competitions/multi-instance-object-detection-challenge/overview
This competition will test users' ability to train a model for multi-instance object detection. Users will:
✨Customize a cloud-based simulation
✨Output unique data for robust model training
✨Optimize training for peak model performance
Compete for cash prizes, certificates, and recognition from peer competitors around the world. Whether you’re a student, researcher, or industry pro, this challenge offers hands-on experience customizing high-fidelity synthetic data for robust models. Ready to bridge the Sim2Real gap? Join us and start building today!
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