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Normalizing Flows Python Packages

Python packages with the GitHub topic normalizing-flows. Sorted by relevance, with stars and monthly downloads.
probabilists
zuko

Normalizing flows in PyTorch

25K 457 36
bayesiains
nflows

Normalizing flows in PyTorch

24K 1K 138
uofgravity
glasflow

Normalising flows implemented using nflows

12K 26 3
GW-JAX-Team
flowmc

Normalizing-flow enhanced sampling package for probabilistic inference in JAX

10K 5 2
mj-will
nessai

nessai: Nested Sampling with Artificial Intelligence

9K 49 4
danielward27
flowjax

Easy to use distributions, bijections and normalizing flows in JAX.

7K 228 22
sbi-dev
pyknos

Conditional density estimation with neural networks

5K 35 6
clementchadebec
pythae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

4K 2K 177
angelolovatto
raylab

Reinforcement learning algorithms in RLlib

4K 59 10
AWehenkel
umnn

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

4K 128 20
StatMixedML
xgboostlss

An extension of XGBoost to probabilistic modelling

3K 704 79
StatMixedML
lightgbmlss

An extension of LightGBM to probabilistic modelling

3K 382 36
prism-oncology
scyan

Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.

3K 43 2
desResLab
linfa-vi

A Python library for variational inference with normalizing flow and annealing

2K 15 2
minaskar
pocomc

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

2K 121 12
dirmeier
surjectors

Surjection layers for density estimation with normalizing flows

2K 4 3
probabilists
lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

2K 134 12
avitai
avitai-artifex

A research-focused modular generative modeling library built on JAX/Flax NNX

2K 1 0
homerjed
sbiax

Fast, lightweight and parallelised simulation-based inference in JAX.

948 23 1
abhiagwl
vistan

Library to run VI algorithms on Stan models.

453 33 3
minaskar
sinflow

Sliced Iterative Normalizing Flow with Minimal Dependencies

309 10 0
deeprob-org
deeprob-kit

A Python Library for Deep Probabilistic Modeling

266 63 10
HSE-LAMBDA
probaforms

Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface

136 29 7
adrianjav
causalflows

CausalFlows: A library for Causal Normalizing Flows in Pytorch

103 31 1
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