Topic: normalizing-flows Goto Github

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0xangelo / raylab
normalizing-flows,Reinforcement learning algorithms in RLlib
User: 0xangelo
reinforcement-learning rllib deep-learning model-based-rl machine-learning streamlit bokeh pytorch generative-models normalizing-flows

abdulfatir / normalizing-flows
normalizing-flows,Understanding normalizing flows
User: abdulfatir
variational-inference normalizing-flows deep-learning variational-autoencoder

akashsengupta1997 / humaniflow
normalizing-flows,[CVPR 2023] Code repository for HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
User: akashsengupta1997
3d-human-pose 3d-human-shape-and-pose-estimation computer-vision normalizing-flows cvpr cvpr2023 smpl

aravindsrinivas / flowpp
normalizing-flows,Code for reproducing Flow ++ experiments
User: aravindsrinivas
deep-learning tensorflow density-estimation neural-networks generative-models normalizing-flows

awehenkel / umnn
normalizing-flows,Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.
User: awehenkel
neural-network normalizing-flows monotonic

bayesiains / nflows
normalizing-flows,Normalizing flows in PyTorch
Organization: bayesiains
density-estimation normalizing-flows generative-model pytorch

biomedia-mira / deepscm
normalizing-flows,Repository for Deep Structural Causal Models for Tractable Counterfactual Inference
Organization: biomedia-mira
causal-inference deep-learning counterfactuals variational-autoencoders normalizing-flows

borealisai / continuous-time-flow-process
normalizing-flows,PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Organization: borealisai
pytorch neurips-2020 normalizing-flows generative-model stochastic-processes

clementchadebec / benchmark_vae
normalizing-flows,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
User: clementchadebec
vae benchmarking beta-vae comparison normalizing-flows pixel-cnn pytorch reproducibility reproducible-research vae-gan

compvis / net2net
normalizing-flows,Network-to-Network Translation with Conditional Invertible Neural Networks
Organization: compvis
Home Page: https://compvis.github.io/net2net/
inn pytorch lightning autoencoders gans normalizing-flows generative-model streamlit pytorch-lightning

dakshidnani / pytorch-nice
normalizing-flows,Implementation of non-linear independent components estimation (NICE) in pytorch
User: dakshidnani
pytorch normalizing-flows deep-learning density-estimation generative-models neural-networks

danielward27 / flowjax
normalizing-flows,
User: danielward27
Home Page: https://danielward27.github.io/flowjax/
jax normalising-flows normalizing-flows

deeprob-org / deeprob-kit
normalizing-flows,A Python Library for Deep Probabilistic Modeling
Organization: deeprob-org
Home Page: https://deeprob-kit.readthedocs.io/en/latest/
normalizing-flows sum-product-networks probabilistic-models probabilistic-circuits

ex4sperans / variational-inference-with-normalizing-flows
normalizing-flows,Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
User: ex4sperans
machine-learning variational-inference density-estimation python pytorch normalizing-flows

franxyao / deep-generative-models-for-natural-language-processing
normalizing-flows,DGMs for NLP. A roadmap.
User: franxyao
generative-model generative-text text-generation generative-models latent-variable-models variational-inference variational-autoencoders generative-adversarial-networks normalizing-flows parsing

gudovskiy / cflow-ad
normalizing-flows,Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
User: gudovskiy
unsupervised anomaly detection mvtec-ad mvtec normalizing-flows

hmdolatabadi / advflow
normalizing-flows,[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
User: hmdolatabadi
Home Page: https://hmdolatabadi.github.io/posts/2020/10/advflow/
normalizing-flows adversarial-machine-learning black-box-attacks neurips-2020

janosh / awesome-normalizing-flows
normalizing-flows,Awesome resources on normalizing flows.
User: janosh
normalizing-flows bayesian-neural-networks variational-inference density-estimation generative-modeling autoregressive machine-learning awesome-list bayesian-inference

jmtomczak / vae_householder_flow
normalizing-flows,Code for the paper "Improving Variational Auto-Encoders using Householder Flow" (https://arxiv.org/abs/1611.09630)
User: jmtomczak
Home Page: https://jmtomczak.github.io/deebmed.html
deep-learning variational-autoencoders representation-learning normalizing-flows generative-model

johannbrehmer / manifold-flow
normalizing-flows,Manifold-learning flows (ℳ-flows)
User: johannbrehmer
Home Page: https://arxiv.org/abs/2003.13913
density-estimation manifold-learning normalizing-flows notagan

jstmn / ikflow
normalizing-flows,Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
User: jstmn
Home Page: https://sites.google.com/view/ikflow/home
density-estimation inverse-kinematics machine-learning normalizing-flows robotics

kamenbliznashki / normalizing_flows
normalizing-flows,Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows
User: kamenbliznashki
density-estmation probability deep-learning normalizing-flows

kazewong / flowmc
normalizing-flows,Normalizing-flow enhanced sampling package for probabilistic inference in Jax
User: kazewong
Home Page: https://flowmc.readthedocs.io/en/main/
jax mcmc normalizing-flows stat

keonlee9420 / portaspeech
normalizing-flows,PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech
User: keonlee9420
text-to-speech normalizing-flows generative-model deep-neural-networks pytorch tts speech-synthesis neural-tts non-autoregressive portable-tts

kingofspace0wzz / wae-rnf-lm
normalizing-flows,Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
User: kingofspace0wzz
variational-autoencoder variational-inference language-model riemannian-geometry normalizing-flows

l0sg / nanoflow
normalizing-flows,PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
User: l0sg
Home Page: https://arxiv.org/abs/2006.06280
deep-generative-model density-estimation generative-models normalizing-flows probabilistic-models pytorch speech-synthesis

l0sg / waveflow
normalizing-flows,A PyTorch implementation of "WaveFlow: A Compact Flow-based Model for Raw Audio" (ICML 2020)
User: l0sg
Home Page: https://arxiv.org/abs/1912.01219
normalizing-flows pytorch speech-synthesis waveflow

lukasrinder / normalizing-flows
normalizing-flows,Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
User: lukasrinder
normalizing-flows deep-learning generative-models density-estimation

minaskar / pocomc
normalizing-flows,pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation
User: minaskar
Home Page: https://pocomc.readthedocs.io
astronomy astrophysics bayesian-inference black-box-bayesian-inference cosmology cosmology-inference general-purpose inference machine-learning mcmc

mj-will / nessai
normalizing-flows,nessai: Nested Sampling with Artificial Intelligence
User: mj-will
Home Page: https://nessai.readthedocs.io/
pytorch normalizing-flows nested-sampling python bayesian-inference bilby machine-learning

nicola-decao / bnaf
normalizing-flows,Pytorch implementation of Block Neural Autoregressive Flow
User: nicola-decao
Home Page: http://arxiv.org/abs/1904.04676
normalizing-flows neural-networks density-estimation variational-autoencoder

phlippe / categoricalnf
normalizing-flows,Official repository for "Categorical Normalizing Flows via Continuous Transformations"
User: phlippe
Home Page: https://arxiv.org/abs/2006.09790
normalizing-flows molecule-generation graph-generation

probabilists / lampe
normalizing-flows,Likelihood-free AMortized Posterior Estimation with PyTorch
Organization: probabilists
Home Page: https://lampe.readthedocs.io
bayesian density-estimation density-ratio-estimation inference likelihood-free-inference normalizing-flows probability python pytorch simulation-based-inference

probabilists / zuko
normalizing-flows,Normalizing flows in PyTorch
Organization: probabilists
Home Page: https://zuko.readthedocs.io
deep-learning density-estimation generative-model normalizing-flows probability torch

regenerator / dpf-nets
normalizing-flows,Flow-based generative model for 3D point clouds.
User: regenerator
deep-learning generative-modeling normalizing-flows point-clouds autoencoder reconstruction

riannevdberg / sylvester-flows
normalizing-flows,
User: riannevdberg
normalizing-flows pytorch vae deep-learning

senya-ashukha / real-nvp-pytorch
normalizing-flows,Real NVP PyTorch a Minimal Working Example | Normalizing Flow
User: senya-ashukha
deep-learning density-estimation real-nvp pytorch normalizing-flow nf normalizing-flows

shchur / ifl-tpp
normalizing-flows,Implementation of "Intensity-Free Learning of Temporal Point Processes" (Spotlight @ ICLR 2020)
User: shchur
Home Page: https://openreview.net/forum?id=HygOjhEYDH
normalizing-flows pytorch temporal-point-processes

slimgroup / invertiblenetworks.jl
normalizing-flows,A Julia framework for invertible neural networks
Organization: slimgroup
machine-learning invertible-neural-networks deep-invertible-networks invertible-1x1-convolutions normalizing-flows julia deep-learning bayesian-inference julia-language normalizing-flow

smsharma / minified-generative-models
normalizing-flows,Bare-bones implementations of some generative models in Jax: diffusion, normalizing flows, consistency models, flow matching, (beta)-VAEs, etc
User: smsharma
consistency-models diffusion-models flow-matching generative-models minified neural-compression normalizing-flows variational-autoencoder

statmixedml / lightgbmlss
normalizing-flows,An extension of LightGBM to probabilistic modelling
User: statmixedml
Home Page: https://statmixedml.github.io/LightGBMLSS/
machine-learning lightgbm gamlss uncertainty-estimation prediction-intervals distributional-regression probabilistic-forecasting normalizing-flows mixture-density-model

statmixedml / xgboostlss
normalizing-flows,An extension of XGBoost to probabilistic modelling
User: statmixedml
Home Page: https://statmixedml.github.io/XGBoostLSS/
probabilistic-forecasts gamlss xgboost machine-learning prediction-intervals distributional-regression uncertainty-estimation multi-target-regression normalizing-flows mixture-density-model

stefanwebb / flowtorch-old
normalizing-flows,Separating Normalizing Flows code from Pyro and improving API
User: stefanwebb
Home Page: https://flowtorch.ai
normalizing-flows pytorch bayesian-inference bayesian-statistics probabilistic-graphical-models probabilistic-programming probabilistic-models

thoglu / jammy_flows
normalizing-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.
User: thoglu
normalizing-flows probability-distribution pdf manifolds

tonyduan / normalizing-flows
normalizing-flows,Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
User: tonyduan
normalizing-flows generative-models

trentbrick / pytorchdiscreteflows
normalizing-flows,Discrete Normalizing Flows implemented in PyTorch
User: trentbrick
deep-learning normalizing-flows discrete-flows pytorch pytorch-implementation density-estimation

vincentstimper / resampled-base-flows
normalizing-flows,Normalizing Flows with a resampled base distribution
User: vincentstimper
Home Page: https://proceedings.mlr.press/v151/stimper22a
normalizing-flows resampled-base-distribution pytorch

visinf / lnfmm
normalizing-flows,Latent Normalizing Flows for Many-to-Many Cross Domain Mappings (ICLR 2020)
Organization: visinf
multimodal-deep-learning conditional-vae generative-models image-to-text latent-variable-models normalizing-flows text-to-image vision-and-language

yang-song / score_flow
normalizing-flows,Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)
User: yang-song
score-based-generative-modeling score-based-generative-models diffusion-models score-matching jax flax normalizing-flows neurips-2021 neural-odes

yoyololicon / constant-memory-waveglow
normalizing-flows,PyTorch implementation of NVIDIA WaveGlow with constant memory cost.
User: yoyololicon
pytorch waveglow wavenet normalizing-flows flows glow convstant-memory nvidia waveflow