In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

This respository is to gather some useful Python functions and use cases for PSS/E. Python can be used to call PSS/E and do simulations without open PSS/E. 06/26/2021 ...

Since its launch in 2009, the European Space Agency mission Soil Moisture and Ocean Salinity (SMOS) has provided valuable information on soil moisture, sea surface salinity data, and other geophysical ...

Abstract: Image-domain least-squares migration (LSM) has demonstrated promising potential in enhancing the spatial resolution of migration images effectively and efficiently. However, existing ...

Abstract: In this paper, we propose a method of reconstructing surface from point cloud using sparse ellipsoid radial basis functions(RBFs). The experimental results ...

This repository contains the source code for TensorFlow Privacy, a Python library that includes implementations of TensorFlow optimizers for training machine learning ...

We also recommend to use the same mypy settings we use, which you'll find in the [tool.mypy] sections in our pyproject.toml file. Make sure you know how to get started, check out our docs! Try our ...

The @a_sync('async') decorator can be used to define an asynchronous function that can also be executed synchronously.

Most existing point cloud upsampling methods have roughly three steps: feature extraction, feature expansion and 3D coordinate prediction. However, they usually suffer from two critical issues: (1) ...