Abstract: The variational autoencoder (VAE) has proven highly effective in monitoring nonlinear stochastic processes, primarily under the assumption of complete and temporally independent data.

The objective of this task is to build a text classification model using the Hugging Face library to classify a dataset of text into one of multiple categories. This repository contains the code, ...

This custom_node for ComfyUI adds one-click "Virtual VRAM" for any GGUF UNet and CLIP loader, managing the offload of layers to DRAM or VRAM to maximize the latent space of your card. Also includes ...

We propose a personalized car-following strategy framework based on a one-dimensional convolutional variational autoencoder (conVAE) and mildly conservative Q-learning (MCQ). The conVAE extracts ...