https://atrc.net.pk/dokuwiki/ 2026-04-15T22:45:56+00:00 https://atrc.net.pk/dokuwiki/ https://atrc.net.pk/dokuwiki/lib/tpl/dokuwiki/images/favicon.ico text/html 2023-10-12T14:17:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:generative_ai:glm_pytorch&rev=1697120220&do=diff Generalized Linear Models (GLMs) in PyTorch are a class of models that extend traditional linear regression to handle a wide range of data types and modeling scenarios. PyTorch is a popular deep learning framework, but it also provides support for traditional machine learning tasks, including GLMs. Here's a detailed explanation of GLMs in PyTorch: text/html 2023-10-12T14:21:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:generative_ai:nerf&rev=1697120460&do=diff NeRF (Neural Radiance Fields) is a novel approach in computer graphics and computer vision for synthesizing novel views of complex 3D scenes by modeling the volumetric scene as a continuous 3D function. NeRF has gained popularity for its ability to create highly detailed and photorealistic 3D reconstructions of scenes and objects from 2D images. While NeRF is traditionally implemented in deep learning frameworks like PyTorch and TensorFlow, it is important to note that the core concept is based … text/html 2023-10-12T14:19:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:generative_ai:pyro&rev=1697120340&do=diff Pyro is a probabilistic programming library for Python that combines the best of deep learning frameworks, such as PyTorch, with the capabilities of probabilistic programming. It is developed by Uber AI Labs and provides a powerful framework for Bayesian modeling, probabilistic machine learning, and inference. Here's a detailed explanation of Pyro: text/html 2023-10-12T14:23:00+00:00 Anonymous (anonymous@undisclosed.example.com) https://atrc.net.pk/dokuwiki/doku.php?id=products:ict:python:generative_ai:stylegan&rev=1697120580&do=diff StyleGAN (Style Generative Adversarial Network) is a powerful deep learning model used for generating high-quality and highly customizable images, particularly in the domain of generative adversarial networks (GANs). It was developed by NVIDIA as an extension of the original GAN framework to create images with remarkable detail, control over content and style, and the ability to generate entirely new and realistic images.