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Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

PyTorch implementations of algorithms for density estimation

A Python command-line utility for converting and processing 3D Gaussian Splatting models. Supports N-to-N conversion between 3DGS (.ply), KSplat, SOG, SPZ, Splat, CloudCompare, Parquet, and Compressed PLY. Includes GPU-accelerated filtering (SOR, Density).

🍓📡🍍Monitor illegal wireless network activities. (Fake Access Points), (WiFi Threats: KARMA Attacks, WiFi Pineapple, Similar SSID, OPN Network Density etc.)

Density-functional toolkit

:zap: Fast scatter density plots for Matplotlib :zap:

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

[CVPR2019] The Perfect Match: 3D Point Cloud Matching with Smoothed Densities