Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques
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Updated
Feb 4, 2024 - C#
Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.
Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques
Unity Post Processing with Convolution Neural Network
🍋 [WIP] Manga Translation Tool
A Generative Adversarial Network (GAN) written entirely in c#
Machine learning library for creating and working with GAN, RNN, CNN, R-CNN and also with Classic Neural Networks.
Este repositorio contiene la implementación de un agente de Conducción Autónoma basado en Deep Learning y de un sistema de generación de circuitos aleatorios con mapas de Kohonen.
Released June 10, 2014