Projects in Awesome Lists tagged with normalizing-flows
A curated list of projects in awesome lists tagged with normalizing-flows .
https://github.com/clementchadebec/benchmark_vae
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Last synced: 14 May 2025
https://github.com/clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Last synced: 29 Apr 2025
https://github.com/bayesiains/nflows
Normalizing flows in PyTorch
density-estimation generative-model normalizing-flows pytorch
Last synced: 13 Mar 2025
https://github.com/statmixedml/xgboostlss
An extension of XGBoost to probabilistic modelling
distributional-regression gamlss machine-learning mixture-density-model multi-target-regression normalizing-flows prediction-intervals probabilistic-forecasts uncertainty-estimation xgboost
Last synced: 16 May 2025
https://github.com/kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
deep-learning density-estmation normalizing-flows probability
Last synced: 13 Mar 2025
https://github.com/franxyao/deep-generative-models-for-natural-language-processing
DGMs for NLP. A roadmap.
approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference
Last synced: 28 Feb 2025
https://github.com/franxyao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
approximate-inference decoding discrete-structures generative-adversarial-networks generative-model generative-models generative-text gradient-estimation graphical-models language-model latent-variable-models markov-chain-monte-carlo mcmc natural-language-processing normalizing-flows parsing structured-prediction text-generation variational-autoencoders variational-inference
Last synced: 22 Apr 2025
https://github.com/keonlee9420/PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
deep-neural-networks fastspeech generative-model hifi-gan high-quality mel-gan neural-tts non-ar non-autoregressive normalizing-flows portable-tts pytorch speech-synthesis text-to-speech tts vae
Last synced: 19 Jul 2025
https://github.com/statmixedml/lightgbmlss
An extension of LightGBM to probabilistic modelling
distributional-regression gamlss lightgbm machine-learning mixture-density-model normalizing-flows prediction-intervals probabilistic-forecasting uncertainty-estimation
Last synced: 04 Apr 2025
https://github.com/tonyduan/normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
generative-models normalizing-flows
Last synced: 05 Apr 2025
https://github.com/biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
causal-inference counterfactuals deep-learning normalizing-flows variational-autoencoders
Last synced: 17 Sep 2025
https://github.com/probabilists/zuko
Normalizing flows in PyTorch
deep-learning density-estimation generative-model normalizing-flows probability torch
Last synced: 14 Dec 2025
https://github.com/johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
density-estimation manifold-learning normalizing-flows notagan
Last synced: 16 Jan 2026
https://github.com/compvis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
autoencoders gans generative-model inn lightning normalizing-flows pytorch pytorch-lightning streamlit
Last synced: 25 Jun 2025
https://github.com/kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
jax mcmc normalizing-flows stat
Last synced: 27 Mar 2025
https://github.com/aravindsrinivas/flowpp
Code for reproducing Flow ++ experiments
deep-learning density-estimation generative-models neural-networks normalizing-flows tensorflow
Last synced: 09 May 2025
https://github.com/riannevdberg/sylvester-flows
deep-learning normalizing-flows pytorch vae
Last synced: 15 Jul 2025
https://github.com/nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
density-estimation neural-networks normalizing-flows variational-autoencoder
Last synced: 11 May 2025
https://github.com/slimgroup/invertiblenetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 12 Apr 2025
https://github.com/slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
bayesian-inference deep-invertible-networks deep-learning invertible-1x1-convolutions invertible-neural-networks julia julia-language machine-learning normalizing-flow normalizing-flows
Last synced: 27 Mar 2025
https://github.com/danielward27/flowjax
jax normalising-flows normalizing-flows
Last synced: 03 Jan 2026
https://github.com/yang-song/score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
diffusion-models flax jax neural-odes neurips-2021 normalizing-flows score-based-generative-modeling score-based-generative-models score-matching
Last synced: 09 Jul 2025
https://github.com/LukasRinder/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
deep-learning density-estimation generative-models normalizing-flows
Last synced: 27 Mar 2025
https://github.com/senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
deep-learning density-estimation nf normalizing-flow normalizing-flows pytorch real-nvp
Last synced: 05 Jul 2025
https://github.com/abdulfatir/normalizing-flows
Understanding normalizing flows
deep-learning normalizing-flows variational-autoencoder variational-inference
Last synced: 15 Apr 2025
https://github.com/l0sg/waveflow
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
normalizing-flows pytorch speech-synthesis waveflow
Last synced: 10 Oct 2025
https://github.com/awehenkel/umnn
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
monotonic neural-network normalizing-flows
Last synced: 10 Jul 2025
https://github.com/AWehenkel/UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
monotonic neural-network normalizing-flows
Last synced: 11 May 2025
https://github.com/probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability python pytorch simulation-based-inference
Last synced: 09 Apr 2025
https://github.com/minaskar/pocomc
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
astronomy astrophysics bayesian-inference black-box-bayesian-inference cosmology cosmology-inference general-purpose inference machine-learning mcmc mcmc-sampler normalizing-flows probabilistic-data-analysis python sampling sampling-methods smc
Last synced: 04 Apr 2025
https://github.com/shchur/ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
normalizing-flows pytorch temporal-point-processes
Last synced: 30 Apr 2025
https://github.com/l0sg/nanoflow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
deep-generative-model density-estimation generative-models normalizing-flows probabilistic-models pytorch speech-synthesis
Last synced: 11 Jul 2025
https://github.com/deeprob-org/deeprob-kit
A Python Library for Deep Probabilistic Modeling
normalizing-flows probabilistic-circuits probabilistic-models sum-product-networks
Last synced: 11 May 2025
https://github.com/0xangelo/raylab
Reinforcement learning algorithms in RLlib
bokeh deep-learning generative-models machine-learning model-based-rl normalizing-flows pytorch reinforcement-learning rllib streamlit
Last synced: 02 May 2025
https://github.com/VincentStimper/resampled-base-flows
Normalizing Flows with a resampled base distribution
normalizing-flows pytorch resampled-base-distribution
Last synced: 15 Jul 2025
https://github.com/vincentstimper/resampled-base-flows
Normalizing Flows with a resampled base distribution
normalizing-flows pytorch resampled-base-distribution
Last synced: 07 Oct 2025
https://github.com/hmdolatabadi/AdvFlow
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
adversarial-machine-learning black-box-attacks neurips-2020 normalizing-flows
Last synced: 11 May 2025
https://github.com/thoglu/jammy_flows
A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control. The connection between different manifolds is fixed via an autoregressive structure.
manifolds normalizing-flows pdf probability-distribution
Last synced: 11 May 2025
https://github.com/borealisai/continuous-time-flow-process
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
generative-model neurips-2020 normalizing-flows pytorch stochastic-processes
Last synced: 07 Apr 2025
https://github.com/stefanwebb/flowtorch-old
Separating Normalizing Flows code from Pyro and improving API
bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch
Last synced: 15 Jul 2025
https://github.com/yoyolicoris/constant-memory-waveglow
PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
convstant-memory flows glow normalizing-flows nvidia pytorch waveflow waveglow wavenet
Last synced: 30 Apr 2025
https://github.com/dirmeier/sbijax
Simulation-based inference in JAX
abc approximate-bayesian-computation normalizing-flows python simulation-based-inference smc-abc
Last synced: 07 Oct 2025
https://github.com/abhiagwl/vistan
A simple library to run variational inference on Stan models.
autograd automatic-differentiation inference inference-algorithms iw-sampling normalizing-flows posterior pystan rank-gaussian realnvp stan stan-models variational-bayes variational-inference
Last synced: 16 Jan 2026
https://github.com/visinf/lnfmm
Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
conditional-vae generative-models image-to-text latent-variable-models multimodal-deep-learning normalizing-flows text-to-image vision-and-language
Last synced: 23 Mar 2025
https://github.com/sbi-dev/pyknos
Conditional density estimation with neural networks
density-estimation mixture-density-networks normalizing-flows
Last synced: 27 Jul 2025
https://github.com/mj-will/nessai
nessai: Nested Sampling with Artificial Intelligence
bayesian-inference bilby machine-learning nested-sampling normalizing-flows python pytorch
Last synced: 25 Jul 2025
https://github.com/impicnf/continuousnormalizingflows.jl
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
continuous-normalizing-flows flows infinitesimal-continuous-normalizing-flows infinitesimal-normalizing-flows julia julia-language julialang normalizing-flows
Last synced: 07 May 2025
https://impicnf.github.io/ContinuousNormalizingFlows.jl/
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
continuous-normalizing-flows flows infinitesimal-continuous-normalizing-flows infinitesimal-normalizing-flows julia julia-language julialang normalizing-flows
Last synced: 11 May 2025
https://github.com/robert-giaquinto/gradient-boosted-normalizing-flows
We got a stew going!
boosting deep-generative-model density-estimation normalizing-flows pytorch variational-autoencoder variational-inference
Last synced: 23 Apr 2025
https://github.com/uofgravity/glasflow
Normalising flows implemented using nflows
normalizing-flows pytorch torch
Last synced: 12 Dec 2025
https://github.com/janosh/torch-mnf
Multiplicative Normalizing Flows in PyTorch.
generative-modeling normalizing-flows pytorch
Last synced: 08 Jul 2025
https://github.com/bgroenks96/normalizing-flows
Implementations of normalizing flows using python and tensorflow
data-science machine-learning machine-learning-algorithms normalizing-flows
Last synced: 06 Oct 2025
https://github.com/shchur/triangular-tpp
Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
normalizing-flows pytorch temporal-point-processes
Last synced: 26 Oct 2025
https://github.com/maximevandegar/normalizing-flows
A repository to learn about Flows, mostly from papers
density-estimation generative-model inference normalizing-flows variational-inference
Last synced: 13 Aug 2025
https://github.com/homerjed/sbiax
Fast, lightweight and parallelised simulation-based inference in JAX.
generative-models jax normalizing-flows simulation-based-inference
Last synced: 14 Jan 2026
https://github.com/impICNF/ContinuousNormalizingFlows.jl
Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia
continuous-normalizing-flows flows julia julia-language julialang normalizing-flows
Last synced: 27 Mar 2025
https://github.com/siboehm/normalizingflownetwork
Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN): https://arxiv.org/abs/1907.08982
conditional-density-estimation normalizing-flows
Last synced: 24 Apr 2025
https://github.com/awehenkel/normalizing-flows
This repository offers an implementation of some common architectures for normalizing flows.
density-estimation neural-network normalizing-flows
Last synced: 30 Jun 2025
https://github.com/mathisgerdes/bijx
Bijections & normalizing flows with JAX/NNX
bijections flax jax lattice-field-theory lie-groups nnx normalizing-flows sampling
Last synced: 19 Jan 2026
https://github.com/andrewatanov/semi-supervised-flow-pytorch
Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"
normalizing-flows semi-supervised-learning
Last synced: 15 May 2025
https://github.com/ryushinn/flows-on-sphere
This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]
distribution-estimation manifolds normalizing-flows
Last synced: 27 Jul 2025
https://github.com/minaskar/sinflow
Sliced Iterative Normalizing Flow with Minimal Dependencies
density-estimation machine-learning normalizing-flow normalizing-flows numpy sampling scikit-learn scipy spline splines
Last synced: 25 Jul 2025
https://github.com/slimgroup/fno-nf.jl
Solving multiphysics-based inverse problems with learned surrogates and constraints
constraints fourier-neural-operator geological-carbon-storage geophysics inverse-problems inversion julia normalizing-flows reservoir-simulation
Last synced: 24 Jul 2025
https://github.com/dirmeier/surjectors
Surjection layers for density estimation with normalizing flows
bijections density-estimation normalizing-flows python surjections
Last synced: 29 Oct 2025
https://github.com/P4ppenheimer/circle_slice_flow_and_variational_determinant_estimator
Codebase related to my master thesis: "Circle Slice Flows and the Variational Determinant Estimator" prepared at the University of Amsterdam (UvA) 2020
generative-model machine-learning normalizing-flows
Last synced: 27 Mar 2025
https://github.com/davidnabergoj/nfmc
This package implements various flow-based MCMC algorithms for statistical analyses and sampling.
bayesian-inference markov-chain-monte-carlo normalizing-flows pytorch sampling simulation statistical-analysis
Last synced: 02 Nov 2025
https://github.com/slimgroup/wise.jl
WISE: full-Waveform variational Inference via Subsurface Extensions
bayesian-inference conditional-normalizing-flows full-waveform-inversion generative-ai normalizing-flows uncertainty-quantification
Last synced: 15 Aug 2025
https://github.com/jbris/deep-root-gen
A simulation model for the digital reconstruction of 3D root system architectures. Integrated with a simulation-based inference generative deep learning model.
3d-modelling 3d-models approximate-bayesian-computation bayesian-inference bayesian-statistics crop-model crop-modeling dash-app dash-plotly deep-learning generative-neural-network likelihood-free-inference normalising-flows normalizing-flows optuna root-system root-system-architecture sequential-monte-carlo simulation-based-inference simulation-modeling
Last synced: 20 Sep 2025
https://github.com/slimgroup/wiser.jl
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
conditional-normalizing-flows full-waveform-inversion normalizing-flows uncertainty-quantification variational-inference
Last synced: 19 Jul 2025
https://github.com/dirmeier/ssnl
Simulation-based inference using SSNL
approximate-bayesian-computation approximate-inference bayesian-inference jax normalizing-flows simulation-based-inference
Last synced: 08 Mar 2025
https://github.com/abhiagwl/improving_inference_in_vae
Code for the ongoing project on improving inference in variational autoencoder by using real non volume preserving transformations(rNVP).
normalizing-flows rnvp tensorflow vae variational-inference
Last synced: 16 Jan 2026
https://github.com/epignatelli/normalising_flows
A pytorch implementation of the most commonly used normalising flows.
deep-learning normalizing-flows
Last synced: 15 Aug 2025
https://github.com/msmrexe/pytorch-normalizing-flows-2d
A from-scratch implementation of a Normalizing Flow (Real NVP) to model and sample from a 2D 'two-moons' distribution. Allows for GIF visualization of the NF evolution.
change-of-variables course-project density-estimation generative-models maximum-likelihood-estimation normalizing-flows pytorch real-nvp university-project
Last synced: 01 Nov 2025
https://github.com/rgflowopen/rg-flow
Code for RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior.
generative-models hierarchical-models machine-learning normalizing-flows renormalization-group
Last synced: 15 Jul 2025
