Python API for FX Options Trading: Revolutionize Your Workflow

Join us for an exclusive webinar where we unveil our new Python API designed to streamline trading as a price taker in FX ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Scientific Research Publishing

Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning ()

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...
IEEE

Dynamic Graph Regularized Broad Learning With Marginal Fisher Representation for Noisy Data Classification

Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...
GitHub

dynamic-svg

Add a description, image, and links to the dynamic-svg topic page so that developers can more easily learn about it.
IEEE

A High-Performance and Flexible Accelerator for Dynamic Graph Convolutional Networks

Abstract: Dynamic Graph Convolutional Networks (DGCNs) have been applied to various dynamic graph-related applications, such as social networks, to achieve high inference accuracy. Typically, each ...
GitHub

Fama–French Factor Graphs

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...