normalizing-flows
There are 180 repositories under normalizing-flows topic.
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
bayesiains/nflows
Normalizing flows in PyTorch
kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
keonlee9420/PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
tonyduan/normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
probabilists/zuko
Normalizing flows in PyTorch
biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
gudovskiy/cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
ex4sperans/variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
CompVis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
aravindsrinivas/flowpp
Code for reproducing Flow ++ experiments
kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
LukasRinder/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
abdulfatir/normalizing-flows
Understanding normalizing flows
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
yang-song/score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
L0SG/WaveFlow
A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
AWehenkel/UMNN
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
TrentBrick/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
shchur/ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
jmtomczak/vae_householder_flow
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
akashsengupta1997/HuManiFlow
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
L0SG/NanoFlow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
minaskar/pocomc
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
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
deeprob-org/deeprob-kit
A Python Library for Deep Probabilistic Modeling