normalizing-flows

There are 24 repositories under normalizing-flows topic.

clementchadebec / benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
vae benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae-gan vae-implementation vae-pytorch variational-autoencoder vq-vae wasserstein-autoencoder
Language:Python 1680
janosh / awesome-normalizing-flows
Awesome resources on normalizing flows.
normalizing-flows bayesian-neural-networks variational-inference density-estimation generative-modeling autoregressive machine-learning awesome-list bayesian-inference
Language:Python 1299
bayesiains / nflows
Normalizing flows in PyTorch
density-estimation normalizing-flows generative-model pytorch
Language:Python 800
kamenbliznashki / normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
density-estmation probability deep-learning normalizing-flows
Language:Python 589
StatMixedML / XGBoostLSS
An extension of XGBoost to probabilistic modelling
probabilistic-forecasts gamlss xgboost machine-learning prediction-intervals distributional-regression uncertainty-estimation multi-target-regression normalizing-flows mixture-density-model
Language:Python 501
FranxYao / Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
generative-model generative-text text-generation generative-models latent-variable-models variational-inference variational-autoencoders generative-adversarial-networks normalizing-flows parsing approximate-inference graphical-models natural-language-processing mcmc markov-chain-monte-carlo structured-prediction gradient-estimation discrete-structures language-model decoding
389
keonlee9420 / PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
text-to-speech normalizing-flows generative-model deep-neural-networks pytorch tts speech-synthesis neural-tts non-autoregressive portable-tts vae fastspeech hifi-gan non-ar mel-gan high-quality
Language:Python 330
tonyduan / normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
normalizing-flows generative-models
Language:Python 261
biomedia-mira / deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
causal-inference deep-learning counterfactuals variational-autoencoders normalizing-flows
Language:Jupyter Notebook 258
zuko
probabilists / zuko
Normalizing flows in PyTorch
density-estimation generative-model normalizing-flows probability torch deep-learning
Language:Python 251
johannbrehmer / manifold-flow
Manifold-learning flows (ℳ-flows)
notagan normalizing-flows manifold-learning density-estimation
Language:Jupyter Notebook 223
gudovskiy / cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
unsupervised anomaly detection mvtec-ad mvtec normalizing-flows
Language:Python 222
StatMixedML / LightGBMLSS
An extension of LightGBM to probabilistic modelling
machine-learning lightgbm gamlss uncertainty-estimation prediction-intervals distributional-regression probabilistic-forecasting normalizing-flows mixture-density-model
Language:Python 222
CompVis / net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
inn pytorch lightning autoencoders gans normalizing-flows generative-model streamlit pytorch-lightning
Language:Python 219
ex4sperans / variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
machine-learning variational-inference density-estimation python pytorch normalizing-flows
Language:Python 214
aravindsrinivas / flowpp
Code for reproducing Flow ++ experiments
deep-learning tensorflow density-estimation neural-networks generative-models normalizing-flows
Language:Python 182
riannevdberg / sylvester-flows
normalizing-flows pytorch vae deep-learning
Language:Python 175
nicola-decao / BNAF
Pytorch implementation of Block Neural Autoregressive Flow
normalizing-flows neural-networks density-estimation variational-autoencoder
Language:Python 173
kazewong / flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
jax mcmc normalizing-flows stat
Language:Python 162
InvertibleNetworks.jl
slimgroup / InvertibleNetworks.jl
A Julia framework for invertible neural networks
machine-learning invertible-neural-networks deep-invertible-networks invertible-1x1-convolutions normalizing-flows julia deep-learning bayesian-inference julia-language normalizing-flow
Language:Julia 142
LukasRinder / normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
normalizing-flows deep-learning generative-models density-estimation
Language:Jupyter Notebook 139
abdulfatir / normalizing-flows
Understanding normalizing flows
variational-inference normalizing-flows deep-learning variational-autoencoder
Language:Jupyter Notebook 133
senya-ashukha / real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
deep-learning density-estimation real-nvp pytorch normalizing-flow nf normalizing-flows
Language:Jupyter Notebook 132
yang-song / score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
score-based-generative-modeling score-based-generative-models diffusion-models score-matching jax flax normalizing-flows neurips-2021 neural-odes
Language:Python 119
L0SG / WaveFlow
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
normalizing-flows speech-synthesis pytorch waveflow
Language:Jupyter Notebook 117
UMNN
AWehenkel / UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
neural-network normalizing-flows monotonic
Language:Python 109
lampe
probabilists / lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability simulation-based-inference python pytorch
Language:Python 105
TrentBrick / PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
deep-learning normalizing-flows discrete-flows pytorch pytorch-implementation density-estimation
Language:Jupyter Notebook 104
shchur / ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
pytorch normalizing-flows temporal-point-processes
Language:Python 76
jmtomczak / vae_householder_flow
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
deep-learning variational-autoencoders representation-learning normalizing-flows generative-model
Language:Python 74
akashsengupta1997 / HuManiFlow
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
3d-human-pose 3d-human-shape-and-pose-estimation computer-vision normalizing-flows cvpr cvpr2023 smpl
Language:Python 67
danielward27 / flowjax
jax normalising-flows normalizing-flows
Language:Python 64
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
Language:Python 63
kingofspace0wzz / wae-rnf-lm
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
variational-autoencoder variational-inference language-model riemannian-geometry normalizing-flows
Language:Python 61
deeprob-kit
deeprob-org / deeprob-kit
A Python Library for Deep Probabilistic Modeling
normalizing-flows sum-product-networks probabilistic-models probabilistic-circuits
Language:Python 59
phlippe / CategoricalNF
Official repository for "Categorical Normalizing Flows via Continuous Transformations"
normalizing-flows molecule-generation graph-generation
Language:Python 55

normalizing-flows

clementchadebec / benchmark_VAE

janosh / awesome-normalizing-flows

bayesiains / nflows

kamenbliznashki / normalizing_flows

StatMixedML / XGBoostLSS

FranxYao / Deep-Generative-Models-for-Natural-Language-Processing

keonlee9420 / PortaSpeech

tonyduan / normalizing-flows

biomedia-mira / deepscm

probabilists / zuko

johannbrehmer / manifold-flow

gudovskiy / cflow-ad

StatMixedML / LightGBMLSS

CompVis / net2net

ex4sperans / variational-inference-with-normalizing-flows

aravindsrinivas / flowpp

riannevdberg / sylvester-flows

nicola-decao / BNAF

kazewong / flowMC

slimgroup / InvertibleNetworks.jl

LukasRinder / normalizing-flows

abdulfatir / normalizing-flows

senya-ashukha / real-nvp-pytorch

yang-song / score_flow

L0SG / WaveFlow

AWehenkel / UMNN

probabilists / lampe

TrentBrick / PyTorchDiscreteFlows

shchur / ifl-tpp

jmtomczak / vae_householder_flow

akashsengupta1997 / HuManiFlow

danielward27 / flowjax

L0SG / NanoFlow

kingofspace0wzz / wae-rnf-lm

deeprob-org / deeprob-kit

phlippe / CategoricalNF