Deep learning software applications
StyleGAN is a generative adversarial network (GAN) introduced by Nvidia researchers in December 2018, and made source available in February 2019. StyleGAN depends on Nvidia's CUDA software, GPUs, and Google's TensorFlow, or Meta AI's PyTorch, which supersedes TensorFlow as the official implementation library in later StyleGAN versions. The second version of StyleGAN, called StyleGAN2, was published on February 5, 2020. It removes some of the characteristic artifacts and improves the image quality. On October 12, 2021, Nvidia released StyleGAN3, described as an "alias-free" version. (Wikipedia).
I did AI-generated baroque music, jazz, and rap music before this one, so I figured I'd continue the AI-generated music series with this video! (Yeah it didn't go according to plan, but I decided that I wanna make videos about my failures as well since it's about the journey and not the de
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If you are interested in learning more about this topic, please visit http://www.gcflearnfree.org/ to view the entire tutorial on our website. It includes instructional text, informational graphics, examples, and even interactives for you to practice and apply what you've learned.
From playlist Your Career
NVIDIA’s AI Nailed Human Face Synthesis! 👩🎓
❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers ❤️ Their mentioned post is available here (Thank you Soumik!): http://wandb.me/styleGAN-NADA 📝 The paper "StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators" is available here: https://
From playlist AI and Deep Learning - Two Minute Papers
[ML News] DeepMind AlphaCode | OpenAI math prover | Meta battles harmful content with AI
#mlnews #alphacode #openai The latest and greatest from the world of Machine Learning! Merch: http://store.ykilcher.com Sponsor: Weights & Biases https://wandb.me/yannic OUTLINE: 0:00 - Intro 0:15 - Sponsor: Weights & Biases 3:15 - DeepMind's AlphaCode: AI competitive programmer 11:30 -
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StyleGAN-NADA - 0 images required!
How many images do you need in your dataset to finetune a stylegan2-ada-pytorch pre-trained network? That's right - zero. Nada. Assuming you're using StyleGAN-nada, that is! Buy art - support a nerd! https://www.hicetnunc.xyz/tz/tz1hTTq24uedFDHS7ggvHGN119mYyg5Nqgmz/creations GitHub: http
From playlist Nerdy Rodent Uploads!
StyleGAN2 Audio Reactive Video
StyleGAN2 ffhq config-f dataset along with Creating Audio Reactive Visuals with StyleGAN from https://github.com/hanhung/Creating-Audio-Reactive-Visuals-With-StyleGAN Works nicely with StyleGAN2 models as well as StyleGAN ones :)
From playlist Nerdy Rodent Uploads!
Audio Reactive Visuals with StyleGAN2
More weirdness, more stylegan! This time I’m using Creating Audio Reactive Visuals With StyleGAN: https://github.com/hanhung/Creating-Audio-Reactive-Visuals-With-StyleGAN with some StyleGAN2 pre-trained models from: https://github.com/NVlabs/stylegan2 (cat, horse, ffhq) Seems pretty weird
From playlist Nerdy Rodent Uploads!
StyleGAN2: Near-Perfect Human Face Synthesis...and More
❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers Their blog post on street scene segmentation is available here: https://app.wandb.ai/borisd13/semantic-segmentation/reports/Semantic-Segmentation-on-Street-Scenes--VmlldzoxMDk2OA 📝 The paper "Ana
From playlist AI and Deep Learning - Two Minute Papers
Audio-reactive Latent Interpolations with StyleGAN2-ada
A quick tutorial for Audio-reactive Latent Interpolations with StyleGAN, StyleGAN2 and Stylegan2-ada using the maua-stylegan2 repo on github. Enjoy :) Audio-reactive Latent Interpolations with StyleGAN on GitHub: https://github.com/JCBrouwer/maua-stylegan2 And on Wavefunk: https://wavef
From playlist Nerdy Rodent Uploads!
NVIDIA’s New AI: Wow, 30X Faster Than Stable Diffusion!
❤️ Check out Anyscale and try it for free here: https://www.anyscale.com/papers 📝 The paper "StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis" is available here: https://sites.google.com/view/stylegan-t/ 📝 My material synthesis paper is available here:
From playlist AI and Deep Learning - Two Minute Papers
[ML News] Microsoft trains 530B model | ConvMixer model fits into single tweet | DeepMind profitable
#mlnews #turingnlg #convmixer Your latest upates on what's happening in the Machine Learning world. OUTLINE: 0:00 - Intro 0:16 - Weights & Biases raises on 1B valuation (sponsored) 2:30 - Microsoft trains 530 billion parameter model 5:15 - StyleGAN v3 released 6:45 - A few more examples
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