Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: normalizing-flows

kazewong/flowMC

Normalizing-flow enhanced sampling package for probabilistic inference in Jax

Language: Python - Size: 21.7 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 174 - Forks: 20

Bingzw/DL_AI_practicing

repo for practicing DL/genAI

Language: Python - Size: 23.2 MB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 0 - Forks: 0

clementchadebec/benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Language: Python - Size: 42.5 MB - Last synced: 2 days ago - Pushed: about 1 month ago - Stars: 1,698 - Forks: 154

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 145 KB - Last synced: 1 day ago - Pushed: about 1 month ago - Stars: 1,313 - Forks: 116

danielward27/flowjax

Language: Python - Size: 16.1 MB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 68 - Forks: 9

RodrigoAVargasHdz/ofdft_normalizing-flows

Nomalizing flows for orbita-free DFT

Language: Python - Size: 285 MB - Last synced: 18 days ago - Pushed: 21 days ago - Stars: 6 - Forks: 0

myscience/hierarchy-flow

Unofficial implementation of Hierarchical Flow (image-to-image) for didactic purposes

Language: Python - Size: 14.6 KB - Last synced: 7 days ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

aai-institute/USFlows

Normalizing flows for neuro-symbolic AI

Language: Python - Size: 2.23 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 7 - Forks: 1

PaulLyonel/ConditionalDeepGEM

Mixed Noise and Posterior Estimation with Conditional DeepGEM

Language: Python - Size: 3.61 MB - Last synced: 7 days ago - Pushed: 7 days ago - Stars: 3 - Forks: 0

StatMixedML/LightGBMLSS

An extension of LightGBM to probabilistic modelling

Language: Python - Size: 32 MB - Last synced: 7 days ago - Pushed: 2 months ago - Stars: 228 - Forks: 21

slimgroup/InvertibleNetworks.jl

A Julia framework for invertible neural networks

Language: Julia - Size: 2.09 MB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 143 - Forks: 19

jstmn/ikflow

Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"

Language: Python - Size: 75 MB - Last synced: 5 days ago - Pushed: 11 days ago - Stars: 31 - Forks: 5

uofgravity/glasflow

Normalising flows implemented using nflows

Language: Python - Size: 773 KB - Last synced: 10 days ago - Pushed: 11 days ago - Stars: 21 - Forks: 2

MICS-Lab/scyan

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.

Language: Python - Size: 25.7 MB - Last synced: 11 days ago - Pushed: about 1 month ago - Stars: 30 - Forks: 1

mieskolainen/icenet

D<ee>p learning [dev library]

Language: Python - Size: 22.3 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 1 - Forks: 5

arrjon/Amortized-NLME-Models

Applying amortizing neural posterior estimation for non-linear mixed effects models

Language: Jupyter Notebook - Size: 383 MB - Last synced: 13 days ago - Pushed: 14 days ago - Stars: 2 - Forks: 0

sbi-dev/pyknos

conditional density estimation with neural networks

Language: Python - Size: 93.8 KB - Last synced: 18 days ago - Pushed: about 1 month ago - Stars: 24 - Forks: 4

janosh/torch-mnf

Multiplicative Normalizing Flows in PyTorch.

Language: Python - Size: 1.23 MB - Last synced: 19 days ago - Pushed: 29 days ago - Stars: 22 - Forks: 3

Howeng98/FrEIA-Implementation

FrEIA sample code

Language: Python - Size: 443 KB - Last synced: 22 days ago - Pushed: over 1 year ago - Stars: 3 - Forks: 0

CS-He/torchKRnet

This is an unofficial implementation of the KRnet with Pytorch, which Tensorflow originally implemented.

Language: Python - Size: 163 KB - Last synced: 23 days ago - Pushed: 23 days ago - Stars: 1 - Forks: 1

0xangelo/raylab

Reinforcement learning algorithms in RLlib

Language: Python - Size: 4.52 MB - Last synced: 5 days ago - Pushed: 17 days ago - Stars: 54 - Forks: 10

aravindsrinivas/flowpp

Code for reproducing Flow ++ experiments

Language: Python - Size: 103 KB - Last synced: 20 days ago - Pushed: about 5 years ago - Stars: 183 - Forks: 27

StatMixedML/XGBoostLSS

An extension of XGBoost to probabilistic modelling

Language: Python - Size: 84.3 MB - Last synced: 7 days ago - Pushed: 4 months ago - Stars: 502 - Forks: 53

bayesiains/nflows

Normalizing flows in PyTorch

Language: Python - Size: 1.37 MB - Last synced: 25 days ago - Pushed: 6 months ago - Stars: 801 - Forks: 120

liyuantsao/FlowSR-LP

The official repository of "Boosting Flow-based Generative Super-Resolution Models via Learned Prior" [CVPR 2024]

Language: Python - Size: 176 MB - Last synced: 26 days ago - Pushed: 26 days ago - Stars: 23 - Forks: 1

dirmeier/sbijax

Simulation-based inference in JAX

Language: Python - Size: 391 KB - Last synced: 28 days ago - Pushed: 28 days ago - Stars: 10 - Forks: 1

probabilists/lampe

Likelihood-free AMortized Posterior Estimation with PyTorch

Language: Python - Size: 3.68 MB - Last synced: 27 days ago - Pushed: 3 months ago - Stars: 105 - Forks: 8

impICNF/ContinuousNormalizingFlows.jl

Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia

Language: Julia - Size: 1.11 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 21 - Forks: 1

gmgeorg/pylambertw

pylambertw - sklearn interface to analyze and gaussianize heavy-tailed, skewed data

Language: Jupyter Notebook - Size: 1.17 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 6 - Forks: 1

mj-will/nessai

nessai: Nested Sampling with Artificial Intelligence

Language: Python - Size: 3.05 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 31 - Forks: 3

probabilists/zuko

Normalizing flows in PyTorch

Language: Python - Size: 170 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 248 - Forks: 16

slimgroup/WISE.jl

WISE: full-Waveform variational Inference via Subsurface Extensions

Language: Julia - Size: 43 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2 - Forks: 0

kirillzx/JDFlow

Multivariate time series modelling and generation

Language: Jupyter Notebook - Size: 41 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

smsharma/minified-generative-models

Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc

Language: Jupyter Notebook - Size: 12 MB - Last synced: about 1 month ago - Pushed: 5 months ago - Stars: 37 - Forks: 5

BorealisAI/continuous-time-flow-process

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Language: Python - Size: 31.3 MB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 42 - Forks: 4

birajpandey/KernelODETransport

Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling.'

Language: Python - Size: 1.37 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

hse-cs/probaforms

Conditional normalizing flows (NFs), conditional GANs, and conditional variational autoencoders (CVAEs) with sklearn-like interface

Language: Python - Size: 3 MB - Last synced: 13 days ago - Pushed: about 2 months ago - Stars: 23 - Forks: 7

TADSGroup/KernelODETransport

Code for "Diffeomorphic Measure Matching with Kernels for Generative Modeling"

Language: Python - Size: 1.33 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0

yang-song/score_flow

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Language: Python - Size: 65.4 KB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 117 - Forks: 24

hmdolatabadi/LRS_NF

[AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".

Language: Python - Size: 662 KB - Last synced: 28 days ago - Pushed: about 1 year ago - Stars: 18 - Forks: 5

gnthibault/Optimisation-Python

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Language: Jupyter Notebook - Size: 606 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 19 - Forks: 9

hmdolatabadi/AdvFlow

[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".

Language: Python - Size: 1.28 MB - Last synced: 28 days ago - Pushed: 8 months ago - Stars: 43 - Forks: 2

minaskar/pocomc

pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation

Language: Python - Size: 23.4 MB - Last synced: 26 days ago - Pushed: 26 days ago - Stars: 54 - Forks: 7

kamenbliznashki/normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

Language: Python - Size: 2.84 MB - Last synced: 2 months ago - Pushed: almost 3 years ago - Stars: 581 - Forks: 102

keonlee9420/PortaSpeech

PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

Language: Python - Size: 129 MB - Last synced: 28 days ago - Pushed: over 2 years ago - Stars: 330 - Forks: 34

clear-nus/DGflow

Pytorch implementation of DGflow (ICLR 2021).

Language: Python - Size: 595 KB - Last synced: 2 months ago - Pushed: about 3 years ago - Stars: 16 - Forks: 5

AWehenkel/UMNN

Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

Language: Python - Size: 24.9 MB - Last synced: 2 months ago - Pushed: 5 months ago - Stars: 106 - Forks: 14

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.

Language: Python - Size: 8.44 MB - Last synced: 2 months ago - Pushed: 4 months ago - Stars: 31 - Forks: 2

lucien1011/mlhep-inference

Statistical framework to perform parameter estimation with normalizing flows

Language: Jupyter Notebook - Size: 9.9 MB - Last synced: 2 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

LukasRinder/normalizing-flows

Implementation of normalizing flows in TensorFlow 2 including a small tutorial.

Language: Jupyter Notebook - Size: 6.45 MB - Last synced: 2 months ago - Pushed: 4 months ago - Stars: 137 - Forks: 39

riannevdberg/sylvester-flows

Language: Python - Size: 4.72 MB - Last synced: 2 months ago - Pushed: almost 5 years ago - Stars: 174 - Forks: 31

bossemel/Flow_PC

Flow-based PC algorithm for causal discovery using Normalizing Flows

Language: Python - Size: 2.58 MB - Last synced: 2 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

seungjunlee96/lightning-generative-models

PyTorch Lightning Implementation of Diffusion, GAN, VAE, Flow models

Language: Python - Size: 3.32 MB - Last synced: 12 days ago - Pushed: 12 days ago - Stars: 7 - Forks: 0

yoyololicon/constant-memory-waveglow

PyTorch implementation of NVIDIA WaveGlow with constant memory cost.

Language: Python - Size: 23.9 MB - Last synced: 19 days ago - Pushed: over 1 year ago - Stars: 34 - Forks: 6

abdulfatir/normalizing-flows

Understanding normalizing flows

Language: Jupyter Notebook - Size: 26.7 MB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 134 - Forks: 20

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

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 388 - Forks: 33

VincentStimper/resampled-base-flows

Normalizing Flows with a resampled base distribution

Language: Python - Size: 1.35 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 35 - Forks: 2

nicola-decao/BNAF

Pytorch implementation of Block Neural Autoregressive Flow

Language: Python - Size: 219 KB - Last synced: 2 months ago - Pushed: almost 3 years ago - Stars: 172 - Forks: 33

johannbrehmer/manifold-flow

Manifold-learning flows (ℳ-flows)

Language: Jupyter Notebook - Size: 639 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 221 - Forks: 25

irmlma/uncertainty-quantification-snf

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

Language: Python - Size: 563 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

shhommychon/mnist_generative_practice

practice generative AI with MNIST

Language: Python - Size: 1.57 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

desResLab/LINFA

A Python library for inference with normalizing flow and annealing

Language: Jupyter Notebook - Size: 5.59 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 12 - Forks: 1

deeprob-org/deeprob-kit

A Python Library for Deep Probabilistic Modeling

Language: Python - Size: 322 KB - Last synced: 2 days ago - Pushed: 12 months ago - Stars: 59 - Forks: 8

gudovskiy/flowenedet

Official PyTorch code for UAI 2023 paper "Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow"

Language: Python - Size: 2.2 MB - Last synced: 4 months ago - Pushed: 6 months ago - Stars: 9 - Forks: 0

cschoeller/generative_models_collection

Toy implementations of some common generative models

Language: Python - Size: 5.9 MB - Last synced: 23 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

visinf/lnfmm

Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)

Language: Python - Size: 1000 KB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 34 - Forks: 12

sezaiacers/glow

This is clean implementation of paper "Glow: Generative Flow with Invertible 1x1 Convolutions" in pytorch.

Language: Python - Size: 262 KB - Last synced: 4 months ago - Pushed: about 3 years ago - Stars: 2 - Forks: 0

tonyduan/normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

Language: Python - Size: 947 KB - Last synced: 2 months ago - Pushed: 5 months ago - Stars: 260 - Forks: 39

rom1mouret/anoflows

Density Estimation and Anomaly Detection with Normalizing Flows

Language: Python - Size: 110 KB - Last synced: 4 months ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

stefanwebb/flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

Language: Python - Size: 4.2 MB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 36 - Forks: 1

fissoreg/relative-gradient-jacobian

Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020

Language: Jupyter Notebook - Size: 264 KB - Last synced: 2 months ago - Pushed: about 3 years ago - Stars: 20 - Forks: 2

12dash/Generative-Model

Some basic examples of Generative Models including GANs, VAE, Normalizing Flow and Normalizing Flow

Language: Jupyter Notebook - Size: 60.2 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 1

chen-hao-chao/ebflow

[NeurIPS 2023] Training Energy-Based Normalizing Flow with Score-Matching Objectives

Language: Python - Size: 2.41 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

CFEL-CMI/FlowBasis

FlowBasis: Variational solutions of perturbed quantum harmonic oscillator problems via augmented basis sets.

Language: Python - Size: 85 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 0

robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

Language: Python - Size: 54.4 MB - Last synced: 2 months ago - Pushed: 8 months ago - Stars: 27 - Forks: 3

slimgroup/FNO-NF.jl

Solving multiphysics-based inverse problems with learned surrogates and constraints

Language: Julia - Size: 6.48 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 5 - Forks: 0

biomedia-mira/deepscm

Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

Language: Jupyter Notebook - Size: 102 MB - Last synced: 6 months ago - Pushed: 11 months ago - Stars: 242 - Forks: 51

ex4sperans/variational-inference-with-normalizing-flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

Language: Python - Size: 244 KB - Last synced: 6 months ago - Pushed: over 5 years ago - Stars: 206 - Forks: 38

senya-ashukha/real-nvp-pytorch

Real NVP PyTorch a Minimal Working Example | Normalizing Flow

Language: Jupyter Notebook - Size: 1.26 MB - Last synced: 6 months ago - Pushed: over 3 years ago - Stars: 130 - Forks: 28

zhihanyang2022/vi-with-normalizing-flows

Unofficial PyTorch implementation of "Variational Inference with Normalizing Flows" by Rezende and Mohamed (ICML 2015)

Language: Jupyter Notebook - Size: 206 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

DataDrivenGalaxyEvolution/galevo23-tutorials

Tutorials for the KITP Galevo23 program

Language: Jupyter Notebook - Size: 60.5 MB - Last synced: 4 months ago - Pushed: 9 months ago - Stars: 17 - Forks: 11

smsharma/jax-conditional-flows

Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.

Language: Jupyter Notebook - Size: 1.31 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 7 - Forks: 3

cschoeller/flomo_motion_prediction

Code for "FloMo: Tractable Motion Prediction with Normalizing Flows", Schöller et al., International Conference on Intelligent Robots and Systems (IROS), 2021

Language: Python - Size: 5.86 KB - Last synced: 23 days ago - Pushed: over 1 year ago - Stars: 3 - Forks: 1

kgkeklikci/Normalizing-Flows

Language: Jupyter Notebook - Size: 10 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

Regenerator/dpf-nets

Flow-based generative model for 3D point clouds.

Language: Python - Size: 89.8 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 41 - Forks: 5

gudovskiy/cflow-ad

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

Language: Python - Size: 815 KB - Last synced: 7 months ago - Pushed: 9 months ago - Stars: 207 - Forks: 55

j-gavran/MlHEPsim

Using ML to Simulate Distributions of Observables at the LHC

Language: Python - Size: 19.2 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

dirmeier/surjectors

Surjection layers for density estimation with normalizing flows

Language: Python - Size: 443 KB - Last synced: 21 days ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

joelnmdyer/gradient_assisted_calibration_abm

Code for paper "Gradient-assisted calibration for financial agent-based models"

Language: Jupyter Notebook - Size: 297 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

IPL-UV/rbig

Rotation-Based Iterative Gaussianization algorithm.

Language: Jupyter Notebook - Size: 29.6 MB - Last synced: 7 days ago - Pushed: about 1 year ago - Stars: 16 - Forks: 2

CompVis/net2net

Network-to-Network Translation with Conditional Invertible Neural Networks

Language: Python - Size: 75.2 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 217 - Forks: 20

pfilo8/TreeFlow

This repository contains the code and resources related to the research paper titled "TreeFlow: Going Beyond Tree-based Parametric Probabilistic Regression" by Patryk Wielopolski and Maciej Zięba. The paper is published in 26th European Conference on Artificial Intelligence ECAI 2023.

Language: Jupyter Notebook - Size: 5.21 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

seddi-research/NEnv

Official repository of "NEnv: Neural Environment Maps for Global Illumination"

Language: Python - Size: 130 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 8 - Forks: 1

AndrewAtanov/semi-supervised-flow-pytorch

Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"

Language: Python - Size: 56.3 MB - Last synced: 10 months ago - Pushed: about 4 years ago - Stars: 9 - Forks: 1

tojiboyevf/GenerativeModels

Final project and home assignments from Generative Models in Machine Learning course

Language: Jupyter Notebook - Size: 44 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

mknw/nf-synth

Framework for analysis of Normalizing Flows based Generative models. Analyses include: similarity between classes, dimensionality reduction (PCA, UMAP), experimental image compression.

Language: Python - Size: 1 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

madgraph-ml/madnis-tf

Machine Learning for Neural Multi-Channel Importance Sampling

Language: Python - Size: 298 MB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0

haihabi/NormFlowPy

A python package that implements a various types of normalizing flows.

Language: Python - Size: 175 KB - Last synced: 1 day ago - Pushed: 8 months ago - Stars: 1 - Forks: 1

L0SG/WaveFlow

A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)

Language: Jupyter Notebook - Size: 1.41 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 115 - Forks: 15

davitpapikyan/Normalizing-Flow-with-Diffusion-Prior-Model

Normalizing Flow with Diffusion Prior Model (NFDPM)

Language: Python - Size: 1.01 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 4 - Forks: 1

Related Keywords
normalizing-flows 167 deep-learning 47 pytorch 46 density-estimation 32 machine-learning 26 generative-models 23 generative-model 23 vae 16 variational-autoencoder 14 variational-inference 14 bayesian-inference 10 python 10 generative-modeling 7 generative-adversarial-network 7 tensorflow 7 neural-networks 7 gan 6 diffusion-models 6 probabilistic-models 5 gans 5 neural-network 5 normalizing-flow 5 jax 5 autoregressive 5 inference 4 graph-neural-networks 3 high-energy-physics 3 julia 3 density-estmation 3 mcmc 3 variational-autoencoders 3 glow 3 simulation-based-inference 3 flows 3 pytorch-implementation 3 probability 3 speech-synthesis 3 astrophysics 2 streamlit 2 reinforcement-learning 2 probabilistic-programming 2 astronomy 2 flow 2 statistics 2 temporal-point-processes 2 automatic-differentiation 2 pdf 2 language-model 2 latent-variable-models 2 lhc 2 recurrent-neural-networks 2 manifolds 2 semi-supervised-learning 2 measure-transport 2 kernel-methods 2 reproducing-kernel-hilbert-spaces 2 likelihood-free-inference 2 clustering 2 probabilistic-machine-learning 2 score-matching 2 neurips-2020 2 mutual-information 2 pytorch-lightning 2 causality 2 sampling 2 causal-discovery 2 bayesian-statistics 2 waveflow 2 generative-ai 2 tensorflow2 2 real-nvp 2 distributional-regression 2 energy-based-model 2 paper 2 keras 2 gamlss 2 diffusion 2 mixture-density-model 2 out-of-distribution-detection 2 prediction-intervals 2 counterfactuals 2 uncertainty-estimation 2 convolutional-neural-networks 2 unsupervised 2 causal-inference 2 invertible-neural-networks 2 deep-generative-model 2 anomaly-detection 2 julia-language 2 tensorflow-probability 2 torch 2 autoencoder 2 rnn 2 mlp 2 lstm 2 tutorial 2 expectation-maximization 1 pyro 1 fourier-neural-operator 1 geological-carbon-storage 1