Deep learning model has the ability of automated feature extraction and feature reduction/selection. The present paper studies the performance of stacked sparse autoencoder (SSAE) on the multi-fault ...

A novel individual identification model was proposed in this paper, which built the autoencoder based on LSTM to obtain the meaningful latent representation from the raw recording directly, further, ...

We introduce ACE-Step, a novel open-source foundation model for music generation that overcomes key ... by integrating diffusion-based generation with Sana’s Deep Compression AutoEncoder (DCAE) and a ...

Tokenizers for embedding models are not often implemented in languages other than Python. This becomes a major obstacle when trying to use embedding models in languages like C# or Java. Developers ...