normalizing-flows
There are 222 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
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
kamenbliznashki/normalizing_flows
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
probabilists/zuko
Normalizing flows in PyTorch
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
keonlee9420/PortaSpeech
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
tonyduan/normalizing-flows
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
gudovskiy/cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
kazewong/flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
ex4sperans/variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
CompVis/net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
aravindsrinivas/flowpp
Code for reproducing Flow ++ experiments
nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
slimgroup/InvertibleNetworks.jl
A Julia framework for invertible neural networks
yang-song/score_flow
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
LukasRinder/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
smsharma/minified-generative-models
Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
abdulfatir/normalizing-flows
Understanding normalizing flows
probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
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.
TrentBrick/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
minaskar/pocomc
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
shchur/ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
akashsengupta1997/HuManiFlow
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
liyuantsao/BFSR
The official repository of BFSR: "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]
jstmn/ikflow
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
jmtomczak/vae_householder_flow
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)