Distance-based Analysis of DAta-manifolds in python
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Updated
May 24, 2024 - Python
Distance-based Analysis of DAta-manifolds in python
Probabilistic Learning for mlr3
Non-parametric density inference for single-cell analysis.
A C++ library for physics-informed spatial and functional data analysis over complex domains.
1D Density Estimation with the Haar Wavelet. Application is to separate point sources from a background distribution.
Parameterizing n-dimensional density fields using denoising diffusion probabilistic models
Estimators for the entropy and other information theoretic quantities of continuous distributions
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Code for the arXiv preprint:2206.05227
Density ratio estimation in Julia
Sub-package of spatstat containing code for linear networks
Libraries to analyze numerical simulations (python3)
This is an unofficial implementation of the KRnet with Pytorch, which Tensorflow originally implemented.
Roundtrip: density estimation with deep generative neural networks
conditional density estimation with neural networks
Awesome resources on normalizing flows.
Normalizing flows in PyTorch
MeTACAST is a set of selection techniques for particle data in VR environment. Users can select a group of particles with natural and simple 6DOF point/stroke input.
Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.
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