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Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
Python implementation of various soccer/football analytics methods such as Poisson goals prediction, Shin method, machine learning prediction... This is a companion python module for octosport medium blog.
CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.
A comprehensive bundle of utilities for the estimation of probability of informed trading models: original PIN in Easley and O'Hara (1992) and Easley et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN) in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et al. (2011, 2012). Implementations of various …
In this work, we examine the resilience of two complex network types (Erdos Renyi, and Power-Law/Scale-free) to potential delivered attacks and random errors.
Generate point arrays for Geometry Nodes using cubic grid, golden angle (Fermat's spiral), poisson disc sampling, or import points from data sources in CSV, NPY, and VF (Unity 3D volume field) formats.