May 14, 2022
«Poison owner” by @geneartor
When you have poison, you have a great temptation to drink it. It's like a gun you want to shoot if you have it. Or is that not everybody's?
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«Poison owner” by @geneartor
When you have poison, you have a great temptation to drink it. It's like a gun you want to shoot if you have it. Or is that not everybody's?
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Project Title: VAE with Spatial-Attention and Label-Controlled Generation - Keras-Exercise-091
Here’s a far more advanced Keras project, building on your extensive experience—this time implementing a Variational Autoencoder (VAE) with attention modules on the Fashion-MNIST dataset, and then using it for controlled image generation. The goal is to teach representation learning, disentanglement, and generative modeling with attention. The code comprises ~98% of the content; summary and usage…
Project Title: VAE with Spatial-Attention and Label-Controlled Generation - Keras-Exercise-091
Here’s a far more advanced Keras project, building on your extensive experience—this time implementing a Variational Autoencoder (VAE) with attention modules on the Fashion-MNIST dataset, and then using it for controlled image generation. The goal is to teach representation learning, disentanglement, and generative modeling with attention. The code comprises ~98% of the content; summary and usage…
Project Title: VAE with Spatial-Attention and Label-Controlled Generation - Keras-Exercise-091
Here’s a far more advanced Keras project, building on your extensive experience—this time implementing a Variational Autoencoder (VAE) with attention modules on the Fashion-MNIST dataset, and then using it for controlled image generation. The goal is to teach representation learning, disentanglement, and generative modeling with attention. The code comprises ~98% of the content; summary and usage…
Project Title: VAE with Spatial-Attention and Label-Controlled Generation - Keras-Exercise-091
Here’s a far more advanced Keras project, building on your extensive experience—this time implementing a Variational Autoencoder (VAE) with attention modules on the Fashion-MNIST dataset, and then using it for controlled image generation. The goal is to teach representation learning, disentanglement, and generative modeling with attention. The code comprises ~98% of the content; summary and usage…
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Project Title: VAE with Spatial-Attention and Label-Controlled Generation - Keras-Exercise-091
Here’s a far more advanced Keras project, building on your extensive experience—this time implementing a Variational Autoencoder (VAE) with attention modules on the Fashion-MNIST dataset, and then using it for controlled image generation. The goal is to teach representation learning, disentanglement, and generative modeling with attention. The code comprises ~98% of the content; summary and usage…
Project Title: RealNVP Normalizing Flow for Density Estimation - Keras-Exercise-030
""" Project Title: RealNVP Normalizing Flow for Density Estimation (ai-ml-ds-RealNVPMix2025) File Name: realnvp_normalizing_flow.py Short Description: Implements a RealNVP normalizing flow in pure Keras to learn an invertible transformation between a simple base Gaussian and a complex 2D mixture-of-Gaussians target distribution. Includes coupling layers, masking, log‑determinant tracking,…
Project Title: RealNVP Normalizing Flow for Density Estimation - Keras-Exercise-030
""" Project Title: RealNVP Normalizing Flow for Density Estimation (ai-ml-ds-RealNVPMix2025) File Name: realnvp_normalizing_flow.py Short Description: Implements a RealNVP normalizing flow in pure Keras to learn an invertible transformation between a simple base Gaussian and a complex 2D mixture-of-Gaussians target distribution. Includes coupling layers, masking, log‑determinant tracking,…