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Search results for python normalizing flows
normalizing-flows
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54 search results found
Benchmark_vae
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1,597
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Nflows
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763
Normalizing flows in PyTorch
Normalizing Flows
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520
PyTorch implementation of normalizing flow models
Xgboostlss
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453
An extension of XGBoost to probabilistic modelling
Normalizing Flows
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255
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
Portaspeech
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211
PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
Normalizing_flows
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202
Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
Lightgbmlss
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179
An extension of LightGBM to probabilistic modelling
Cflow Ad
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171
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
Bnaf
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142
Pytorch implementation of Block Neural Autoregressive Flow
Flowmc
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141
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Net2net
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128
Network-to-Network Translation with Conditional Invertible Neural Networks
Sylvester Flows
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126
Variational Inference With Normalizing Flows
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106
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Lampe
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104
Likelihood-free AMortized Posterior Estimation with PyTorch
Umnn
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99
Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
Hcflow
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74
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
Rg Flow
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65
This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029
Vae_householder_flow
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53
Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
Nanoflow
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53
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."
Deeprob Kit
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52
A Python Library for Deep Probabilistic Modeling
Raylab
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51
Reinforcement learning algorithms in RLlib
Neuralrg
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51
Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.
Wae Rnf Lm
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40
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Pocomc
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39
pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
Constant Memory Waveglow
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36
PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
Score_flow
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35
Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
Ifl Tpp
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34
Implementation of "Intensity-Free Learning of Temporal Point Processes" (ICLR 2020)
Humaniflow
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34
[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
Advflow
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34
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Jammy_flows
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29
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.
Nessai
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29
nessai: Nested Sampling with Artificial Intelligence
Scyan
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27
Biology-driven deep generative model for cell-type annotation in cytometry. Scyan is an interpretable model that also corrects batch-effect and can be used for debarcoding or population discovery.
Fab Torch
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27
Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
Flowjax
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26
Ikflow
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22
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Gradient Boosted Normalizing Flows
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21
We got a stew going!
Resampled Base Flows
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21
Normalizing Flows with a resampled base distribution
Mongeampereflow
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20
Continuous-time gradient flow for generative modeling and variational inference
Torch Mnf
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19
Multiplicative Normalizing Flows in PyTorch.
Semi Supervised Nfs
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17
Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning
Face A Normalizing Flow Based Cardinality Estimator
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17
A pytorch implementation for FACE: A Normalizing Flow based Cardinality Estimator
Probaforms
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16
Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface
Lrs_nf
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16
[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".
Pde Surrogate
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15
Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
Glasflow
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15
Normalising flows implemented using nflows
Normalizing_flows
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13
Implementation of Normalizing flows on MNIST https://arxiv.org/abs/1505.05770
Pytorch Nice
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12
Implementation of non-linear independent components estimation (NICE) in pytorch
Vistan
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12
A simple library to run variational inference on Stan models.
Dpf Nets
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11
Flow-based generative model for 3D point clouds.
Flowenedet
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9
Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"
Ffjord Rnode
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8
Regularized Neural ODEs (RNODE)
Vitts
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8
In this repo, I developed a step-by-step pipeline for a standard MultiSpeaker Text-to-Speech system 😄 In general, I used Portaspeech as an acoustic model and iSTFTNet as vocoder...
Nenv
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8
Official repository of "NEnv: Neural Environment Maps for Global Illumination"
Iconflow
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7
Code for "Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization", CVPR 2022.
Dine
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6
Diffeomorphic Information Neural Estimation (DINE)
Ofdft_normalizing Flows
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6
Nomalizing flows for orbita-free DFT
Flows On Sphere
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6
This is a Pytorch implementation of [normalizing flows on tori and spheres, ICML 2020]
Normalizingflownetwork
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6
Bayesian and ML Implementation of the Normalizing Flow Network (NFN)
Lcit
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5
Latent representation based Conditional Independence Test (LCIT)
Sbijax
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5
Simulation-based inference in JAX
Flowconductor
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5
(Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.
Normalizing Flows
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5
Modern normalizing flows in Python. Simple to use and easily extensible.
Phase Space Sampling
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5
Reduce a large and high-dimensional dataset by downselecting data uniformly in phase space
Veriflow
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5
Normalizing flows for neuro-symbolic AI
Flowbasis
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5
FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.
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