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Create High Resolution GAN Faces with Pretrained NVidia StyleGAN and Google CoLab

See how to use Google CoLab to run NVidia StyleGAN to generate high resolution human faces. This allows you to use the free GPU provided by Google. Example notebook: https://github.com/jeffheaton/present/blob/master/youtube/style_gan.ipynb StyleGAN: https://github.com/NVlabs/stylegan Google Drive, Shared Networks: https://drive.google.com/drive/folders/1uka3a1noXHAydRPRbknqwKVGODvnmUBX Source of this machine learning/AI Video
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05:32

Two Minute Papers: Gaussian Material Synthesis (SIGGRAPH 2018)

In this work, we teach an AI the concept of metallic, translucent materials and more. The paper “Gaussian Material Synthesis” and its source code is available here: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly Zsolnai-Fehér, Peter Wonka, Michael Wimmer Acknowledgments: We would like to thank Robin Marin for the material […]
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06:25

Two Minute Papers: NVIDIA’s New AI: Enhance! 🔍

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “EG3D: Efficient Geometry-aware 3D Generative Adversarial Networks” is available here: https://matthew-a-chan.github.io/EG3D/ 📝 The latent space material synthesis paper “Gaussian Material Synthesis” is available here: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly Zsolnai-Fehér, Peter Wonka, […]
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13:20

ML News: MMO Game destroys GPUs • OpenAI quits Robotics • Today with guest host Sanyam Bhutani

#chai #mlnews #nvidia Follow Saynam here: YouTube: https://www.youtube.com/c/ChaiTimeDataScience Twitter: https://twitter.com/bhutanisanyam1 Apple Podcasts: https://podcasts.apple.com/us/podcast/chai-time-data-science/id1473685440?uo=4 LinkedIn: https://www.linkedin.com/in/sanyambhutani/ Spotify: https://open.spotify.com/show/7IbEWJjeimwddhOZqWe0G1 Anchor.fm RSS: https://anchor.fm/s/c19772c/podcast/rss Outline: 0:00 – Intro & Overview 1:30 – Amazon’s MMO may destroy gaming GPUs 2:40 – OpenAI pivots away from Robotics 3:35 – Google parent Alphabet launches Intrinsic 4:55 – AI learns how vegetables taste […]
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11:21

Installing PyTorch for CPU and GPU using CONDA (July, 2020)

This video shows how to set up a CONDA environment containing PyTorch and several useful machine learning libraries. CONDA allows you to isolate the GPU drivers into a self-contained environment that greatly simplifies the installation process. The setup can serve as a foundation for any deep learning study. The GPU used in this video was […]
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Are NVIDIA CMP GPUs any Good for Deep Learning?

Soon, NVIDIA will release the new CMP line of GPUs specifically designed for crypto-miners. Naturally I wondered what use these GPUs might have for deep … Source of this machine learning/AI Video
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04:10

NVIDIA’s AI Creates Beautiful Images From Your Sketches

If you feel like it, buy anything through this Amazon link – you don’t lose anything and we get a small kickback. US: https://amzn.to/2FQHPcs EU: https://amzn.to/2UnB2yF 📝 The paper “Semantic Image Synthesis with Spatially-Adaptive Normalization” and its source code is available here: https://nvlabs.github.io/SPADE/ https://github.com/NVlabs/SPADE ❤️ Pick up cool perks on our Patreon page: https://www.patreon.com/TwoMinutePapers 🙏 […]
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25:40

[ML News] DeepMind tackles Math | Microsoft does more with less | Timnit Gebru launches DAIR

#mlnews #deepmind #ai The most trusted model in News! Get started with Weights & Biases here: https://wandb.me/yannic (it’s free forever for personal use) OUTLINE: 0:00 – Intro 0:15 – Sponsor: Weights & Biases 3:10 – DeepMind tackles fundamental math 6:45 – Microsoft focuses on scaling effectively and efficiently 10:15 – NeurIPS Anthology Visualization 13:30 – […]
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44:34

Opening Up the Black Box: Model Understanding with Captum and PyTorch

Presented by Narine Kokhlikyan, Facebook AI | Ludwig Schubert, OpenAI at GTC 2020 (https://developer.nvidia.com/gtc/2020/video/s22147-vid) PyTorch, the popular open-source ML framework, has continued to evolve rapidly since the introduction of PyTorch 1.0, which brought an accelerated workflow from research to production. In this presentation, we’ll deep dive on Captum, a model interpretability library for PyTorch which […]
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14:16

Linux on the Desktop for the Data Science (with a Lenovo ThinkPad P53)

Most data science and machine learning tools are developed on Linux first. Generally, when you run machine learning in the cloud, it will be on Linux. What about running Linux on the desktop for a data scientist. In this video I demonstrate a Lenovo ThinkPad P53 that is setup for data science with Ubuntu as […]
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16:44

AWS Crash Course for Python Data Science with NVIDIA GPUs: EC2, IAM, SPOT, Tunneling

In this video I provide a tutorial for launching EC2 instances for use with data science from Windows 10. I show how to launch a spot instance to save money, preparing a Putty PPK, and using a Putty tunnel to access JupyterLab. Putty https://www.putty.org/ WinSCP https://winscp.net Commands from Video nvidia-smi top docker run -it –rm […]
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08:51

An AI That Makes Dog Photos – But How? 🐶

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers ❤️ Their mentioned post is available here: https://wandb.ai/ayush-thakur/ada/reports/Train-Generative-Adversarial-Network-With-Limited-Data–Vmlldzo1NDYyMjA 📝 The paper “Training Generative Adversarial Networks with Limited Data” is available here: Paper: https://arxiv.org/abs/2006.06676 Pytorch implementation: https://github.com/NVlabs/stylegan2-ada-pytorch 📝 My thesis with the quote is available here: Photorealistic Material Learning and Synthesis […]
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09:35

Detect Facial Features for StyleGAN Cropping (9.4)

Did you know you can find your GAN Doppelganger in the latent vector space of NVIDIA StyleGAN2 ADA? I provide a Colab notebook that contains all that you need to create your own morph videos between any two photos of people’s faces. Notebook used in this video: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/t81_558_class_09_4_facial_points.ipynb Follow Me/Subscribe: https://www.youtube.com/user/HeatonResearch https://github.com/jeffheaton Tweets by jeffheaton […]
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20:04

Training a GAN from your Own Images: StyleGAN2 ADA

You’ve probably seen cool neural network GAN images created of human faces and even cats. However, what if you want to create GANs of your own images? In this video I show how I created GANs from several different image sources, including fish, holiday photos, and even MineCraft. It does take considerable compute power, and […]
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11:39

Installing the NVIDIA Data Science Stack on Linux with a ThinkPad P53

In this video I show how to install/upgrade the NVIDIA Data Science Stack. This allows management of a data science environment on a Linux desktop (as opposed to command line) system. Data Science Stack: https://github.com/NVIDIA/data-science-stack Dealing with invalid certs: https://github.com/NVIDIA/nvidia-docker/issues/837 Lenovo P-Series: https://www.lenovo.com/us/en/laptops/thinkpad/thinkpad-p/c/thinkpadp ** Follow Me on Social Media! GitHub: https://github.com/jeffheaton Twitter: https://twitter.com/jeffheaton Instagram: https://www.instagram.com/jeffheatondotcom/ […]
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11:26

NVIDIA GeForce RTX 3090 vs 3080 vs 3070 vs 3060Ti for Machine Learning

In this video we look at a high-end machine learning workstation provided by Exxact corporation. I will feature this machine in several videos, any suggestions on what to try? In this video we review the system specs and perform a simple test of the two 3090 GPUs. 0:36 Exxact System 1:07 NVIDIA GeForce RTX 30xx […]
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Introducing a Exxact High End Machine Learning Workstation w/ Dual 3090

In this video we look at a high-end machine learning workstation provided by Exxact corporation. I will feature this machine in several videos, any suggestions on what to try? In this video we review the system specs and perform a simple test of the two 3090 GPUs. Exact system specs: ** System Used ** * […]
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2020, TensorFlow 2.2 NVIDIA GPU (CUDA)/CPU, Keras, & Python 3.7 in Linux Ubuntu

In this video I show how to install Keras/Python/Tensorflow with an NVIDIA GPU on an Ubuntu system, assuming Linux as the desktop GUI. I install on a Lenovo ThinkPad P53. I use the instructions here: https://github.com/jeffheaton/t81_558_deep_learning/tree/master/install Lenovo P-series: https://www.lenovo.com/us/en/laptops/thinkpad/thinkpad-p/c/thinkpadp NVIDIA Quadro RTX 5000: https://www.nvidia.com/en-us/design-visualization/quadro/rtx-5000/ ** Follow Me on Social Media! GitHub: https://github.com/jeffheaton Twitter: https://twitter.com/jeffheaton Instagram: […]