Awesome resources on normalizing flows.
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Updated
Sep 24, 2024 - Python
Awesome resources on normalizing flows.
📦 R/haldensify: Highly Adaptive Lasso Conditional Density Estimation
Probabilistic Learning for mlr3
Sub-package of spatstat containing code for linear networks
Distance-based Analysis of DAta-manifolds in python
Density ratio estimation in Julia
The package 'data-driven density estimation x' (dddex) turns any standard point forecasting model into an estimator of the underlying conditional density
Modern normalizing flows in Python. Simple to use and easily extensible.
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
My personal implementation of several unsupervised learning algorithms.
QGIS plugin that automates the creation of density heatmaps with a heatmap explorer to examine the areas of greatest concentrations. It includes H3, geohash, and polygon density map algorithms along with several styling algorithms.
PyTorch implementation of normalizing flow models
Likelihood-free AMortized Posterior Estimation with PyTorch
Normalizing flows in PyTorch
Non-parametric density inference for single-cell analysis.
Conditional density estimation with neural networks
Parameterizing n-dimensional density fields using denoising diffusion probabilistic models
Surjection layers for density estimation with normalizing flows
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Fortran Code for Grid Projected Kernel Density Estimation From Multidimensional Particle Distributions
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