Tag: deep learning
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VSCode and Docker for Machine Learning
In this article, I want to share my experience using Visual Studio Code (VSCode) for all my machine learning work and how it has significantly improved my productivity. I believe that I am now five times more productive than before, thanks to the use of VSCode, Docker containers, and GitHub Copilot. Working in Different Environments: […]
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Lip Synching Head Talking Videos At 4K using Wav2lip and Vqgan
Hello everyone, in this article I wanted to talk about a paper that is a follow-up of Wav2Lip:: Towards Generating Ultra-High Resolution Talking-Face Videos with Lipsynchronization. This paper makes an improvement of the Wav2Lip model so that it is able to generate lip-synching videos at 4K resolutions. And how does it manage to achieve that? […]
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From a 2D Photo to a 3D Model with Nvidia Ganverse3D with Nvidia Omniverse Create
Remember that a few months ago I talked about a new ground-breaking application, yet to be released, from Nvidia Research Labs, called GanVerse3D, capable of rendering 3D models with texture from 2D photos? Not only that, GanVerse3D was also supposed to be capable of animating the 3D model at a click of a button. Yes, […]
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How to install Tensorflow 2.5 with CUDA 11.2 and CuDNN 8.1 for Windows 10
In this article, I am going to show you how you can install Tensorflow 2.5, CUDA 11.2.1, and CuDNN 8.1, for Windows 10, with full support for an Nvidia GPU RTX 30 series card. Since CUDA is backward compatible it should also work for RTX 20 series cards or older. But before I install CUDA, […]
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Nvidia Resizable BAR for all RTX 30 Series GPUs and what will it mean for Deep Learning
After Nvidia‘s release of “Resizable BAR” memory support for the RTX 3060 at launch, Nvidia has now extended this feature to all RTX-30 series cards.This means that for a select number of games, it is possible to see a performance boost when Resizable BAR is enabled. But is Resizable BAR support only enabled for gaming […]
