Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Explore how Python enhances automation in 3D workflows with OpenUSD, enabling rapid prototyping and efficient scene manipulation, crucial for industries handling complex 3D data.

There have been recent advances in the analysis and visualization of 3D symmetric tensor fields, with a focus on the robust extraction of tensor field topology.

3D Plotting Program This program demonstrates 3D plotting in Python using matplotlib. It visualizes a helical line alongside scattered points in 3D space, with the scattered points' color intensity ...

Meet einx, a novel Python library developed in the tensor operations landscape, offers a streamlined approach to formulating complex tensor operations using Einstein notation. Inspired by einops, einx ...

Many developers who use Python for machine learning are now switching to PyTorch. Find out why and what the future could hold for TensorFlow.

Tensors are an effective method for handling and representing multidimensional data arrays. However, they have a limitation in terms of storage and computation. Tensor decompositions are crucial in ...

3D asymmetric tensor fields have found many applications in science and engineering domains, such as fluid dynamics and solid mechanics. 3D asymmetric tensors can have complex eigenvalues, which makes ...

Python Distributed Non Negative Tensor Networks. Contribute to lanl/pyDNTNK development by creating an account on GitHub.