IEEE

Deep Learning and Symbolic Regression for Discovering Parametric Equations

Abstract: Symbolic regression is a machine learning technique that can learn the equations governing data and thus has the potential to transform scientific discovery. However, symbolic regression is ...
IEEE

Deep Residual Networks With Adaptively Parametric Rectifier Linear Units for Fault Diagnosis

Abstract: Vibration signals under the same health state often have large differences due to changes in operating conditions. Likewise, the differences among vibration signals under different health ...
Hosted on MSN

After Effects tutorial | Disintegrate the park bench #oe318

#OctopusEffects, #aftereffects Hi everybody. Today I introduce to you the Disintegration Effect, using Particular. For those who do not know, Particular is a paid plugin, you have to buy it to use it.
GitHub

A PyTorch implementation of Parametric UMAP (Uniform Manifold Approximation and Projection) for learning low-dimensional parametric embeddings of high-dimensional data.

The pip install pulls the default PyTorch build from PyPI. If you need a specific CUDA version, install PyTorch first following the official instructions, then install this package.