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Title: GitHub - VincentStimper/normalizing-flows: PyTorch implementation of normalizing flow models · GitHub

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X Title: GitHub - VincentStimper/normalizing-flows: PyTorch implementation of normalizing flow models

Description: PyTorch implementation of normalizing flow models. Contribute to VincentStimper/normalizing-flows development by creating an account on GitHub.

Open Graph Description: PyTorch implementation of normalizing flow models. Contribute to VincentStimper/normalizing-flows development by creating an account on GitHub.

X Description: PyTorch implementation of normalizing flow models. Contribute to VincentStimper/normalizing-flows development by creating an account on GitHub.

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og:image:altPyTorch implementation of normalizing flow models. Contribute to VincentStimper/normalizing-flows development by creating an account on GitHub.
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README.mdhttps://github.com/VincentStimper/normalizing-flows/blob/master/README.md
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mkdocs.ymlhttps://github.com/VincentStimper/normalizing-flows/blob/master/mkdocs.yml
requirements.txthttps://github.com/VincentStimper/normalizing-flows/blob/master/requirements.txt
requirements.txthttps://github.com/VincentStimper/normalizing-flows/blob/master/requirements.txt
requirements_examples.txthttps://github.com/VincentStimper/normalizing-flows/blob/master/requirements_examples.txt
requirements_examples.txthttps://github.com/VincentStimper/normalizing-flows/blob/master/requirements_examples.txt
setup.cfghttps://github.com/VincentStimper/normalizing-flows/blob/master/setup.cfg
setup.cfghttps://github.com/VincentStimper/normalizing-flows/blob/master/setup.cfg
setup.pyhttps://github.com/VincentStimper/normalizing-flows/blob/master/setup.py
setup.pyhttps://github.com/VincentStimper/normalizing-flows/blob/master/setup.py
READMEhttps://github.com/VincentStimper/normalizing-flows
MIT licensehttps://github.com/VincentStimper/normalizing-flows
https://github.com/VincentStimper/normalizing-flows#normflows-a-pytorch-package-for-normalizing-flows
https://vincentstimper.github.io/normalizing-flows/
https://github.com/VincentStimper/normalizing-flows/actions/workflows/pytest.yaml/badge.svg
https://raw.githubusercontent.com/VincentStimper/normalizing-flows/coverage-badge/coverage.svg?raw=true
https://opensource.org/licenses/MIT
https://doi.org/10.21105/joss.05361
https://pypi.org/project/normflows/
https://pepy.tech/project/normflows
list belowhttps://github.com/VincentStimper/normalizing-flows#implemented-flows
installed via piphttps://github.com/VincentStimper/normalizing-flows#installation
herehttps://github.com/VincentStimper/normalizing-flows#usage
full documentationhttps://vincentstimper.github.io/normalizing-flows/
accompanying paperhttps://joss.theoj.org/papers/10.21105/joss.05361
examples folderhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples
Glowhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/glow.ipynb
VAEhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/vae.py
Residual Flowhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/residual.ipynb
examples sectionhttps://github.com/VincentStimper/normalizing-flows#examples
https://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/real_nvp_colab.ipynb
https://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/paper_example_nsf_colab.ipynb
https://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/glow_colab.ipynb
https://github.com/VincentStimper/normalizing-flows#implemented-flows
Rezende & Mohamed, 2015http://proceedings.mlr.press/v37/rezende15.html
Rezende & Mohamed, 2015http://proceedings.mlr.press/v37/rezende15.html
Dinh et al., 2014https://arxiv.org/abs/1410.8516
Dinh et al., 2017https://openreview.net/forum?id=HkpbnH9lx
Kingma et al., 2018https://proceedings.neurips.cc/paper/2018/hash/d139db6a236200b21cc7f752979132d0-Abstract.html
Papamakarios et al., 2017https://proceedings.neurips.cc/paper/2017/hash/6c1da886822c67822bcf3679d04369fa-Abstract.html
Durkan et al., 2019https://proceedings.neurips.cc/paper/2019/hash/7ac71d433f282034e088473244df8c02-Abstract.html
Rezende et al., 2020http://proceedings.mlr.press/v119/rezende20a.html
Chen et al., 2019https://proceedings.neurips.cc/paper/2019/hash/5d0d5594d24f0f955548f0fc0ff83d10-Abstract.html
Wu et al., 2020https://proceedings.neurips.cc/paper/2020/hash/41d80bfc327ef980528426fc810a6d7a-Abstract.html
https://github.com/VincentStimper/normalizing-flows#installation
PyTorch websitehttps://pytorch.org/get-started/locally/
https://github.com/VincentStimper/normalizing-flows#usage
nf.distributions.basehttps://github.com/VincentStimper/normalizing-flows/blob/master/normflows/distributions/base.py
nf.flowshttps://github.com/VincentStimper/normalizing-flows/blob/master/normflows/flows
Real NVP modelhttps://openreview.net/forum?id=HkpbnH9lx
nf.NormalizingFlowhttps://github.com/VincentStimper/normalizing-flows/blob/master/normflows/core.py#L9
nf.distributions.targethttps://github.com/VincentStimper/normalizing-flows/blob/master/normflows/distributions/target.py
https://github.com/VincentStimper/normalizing-flows#examples
exampleshttps://github.com/VincentStimper/normalizing-flows/blob/master/examples
Glowhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/glow.ipynb
VAEhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/vae.py
Residual Flowhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/residual.ipynb
repository about resampled base distributionshttps://github.com/VincentStimper/resampled-base-flows
experimentshttps://github.com/VincentStimper/resampled-base-flows/tree/master/experiments
https://github.com/VincentStimper/normalizing-flows#real-nvp-applied-to-a-2d-bimodal-target-distribution
https://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/real_nvp_colab.ipynb
this notebookhttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/real_nvp_colab.ipynb
Colabhttps://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/real_nvp_colab.ipynb
https://raw.githubusercontent.com/VincentStimper/normalizing-flows/master/figures/real_nvp.png
this paperhttps://proceedings.mlr.press/v151/stimper22a
https://github.com/VincentStimper/normalizing-flows#modeling-a-distribution-on-a-cylinder-surface-with-a-neural-spline-flow
https://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/paper_example_nsf_colab.ipynb
another examplehttps://github.com/VincentStimper/normalizing-flows/blob/master/examples/paper_example_nsf_colab.ipynb
Colabhttps://colab.research.google.com/github/VincentStimper/normalizing-flows/blob/master/examples/paper_example_nsf_colab.ipynb
https://raw.githubusercontent.com/VincentStimper/normalizing-flows/master/figures/nsf_cylinder_3d.png
paperhttps://joss.theoj.org/papers/10.21105/joss.05361
https://github.com/VincentStimper/normalizing-flows#support
package documentationhttps://vincentstimper.github.io/normalizing-flows/
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https://github.com/VincentStimper/normalizing-flows#used-by
A gradient based strategy for Hamiltonian Monte Carlo hyperparameter optimizationhttps://proceedings.mlr.press/v139/campbell21a.html
Code available on GitHub.https://github.com/VincentStimper/hmc-hyperparameter-tuning
Resampling Base Distributions of Normalizing Flowshttps://proceedings.mlr.press/v151/stimper22a
Code available on GitHub.https://github.com/VincentStimper/resampled-base-flows
Flow Annealed Importance Sampling Bootstraphttps://arxiv.org/abs/2208.01893
Code available on GitHub.https://github.com/lollcat/fab-torch
BlackBIRDS: Black-Box Inference foR Differentiable Simulatorshttps://joss.theoj.org/papers/10.21105/joss.05776
Code available on GitHub.https://github.com/arnauqb/blackbirds
Learning to Transform for Generalizable Instance-wise Invariancehttps://openaccess.thecvf.com/content/ICCV2023/html/Singhal_Learning_to_Transform_for_Generalizable_Instance-wise_Invariance_ICCV_2023_paper.html
Code available on GitHub.https://github.com/sutkarsh/flow_inv
One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Modelshttps://proceedings.neurips.cc/paper_files/paper/2023/hash/1516a7f7507d5550db5c7f29e995ec8c-Abstract-Conference.html
Code available on GitHub.https://github.com/tranbahien/data-mollification
boltzgenhttps://github.com/VincentStimper/boltzmann-generators
https://github.com/VincentStimper/normalizing-flows#citation
corresponding paperhttps://joss.theoj.org/papers/10.21105/joss.05361
https://doi.org/10.21105/joss.05361https://doi.org/10.21105/joss.05361
joss.theoj.org/papers/10.21105/joss.05361https://joss.theoj.org/papers/10.21105/joss.05361
pytorch https://github.com/topics/pytorch
variational-inference https://github.com/topics/variational-inference
density-estimation https://github.com/topics/density-estimation
invertible-neural-networks https://github.com/topics/invertible-neural-networks
variational-autoencoder https://github.com/topics/variational-autoencoder
glow https://github.com/topics/glow
normalizing-flow https://github.com/topics/normalizing-flow
real-nvp https://github.com/topics/real-nvp
residual-flow https://github.com/topics/residual-flow
neural-spline-flow https://github.com/topics/neural-spline-flow
Readme https://github.com/VincentStimper/normalizing-flows#readme-ov-file
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