PyTorch implementations of algorithms for density estimation
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May 13, 2021 - Python
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density-estimation
Here are 102 public repositories matching this topic...
A list of awesome resources on normalizing flows.
machine-learning
autoregressive
variational-inference
density-estimation
normalizing-flows
bayesian-neural-networks
generative-modeling
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Jun 20, 2021
Manifold-learning flows (ℳ-flows)
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Nov 13, 2020 - Jupyter Notebook
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
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Sep 3, 2018 - Python
Code for reproducing Flow ++ experiments
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Apr 27, 2019 - Python
Pytorch implementation of Block Neural Autoregressive Flow
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Oct 23, 2020 - Python
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
pytorch
vae
image-generation
density-estimation
variational-autoencoder
vae-pytorch
cvpr2021
soft-introvae
soft-intro-vae
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Jun 21, 2021 - Jupyter Notebook
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
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Nov 6, 2020 - Jupyter Notebook
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
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Nov 29, 2020 - Jupyter Notebook
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
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Jul 5, 2021 - Python
Discrete Normalizing Flows implemented in PyTorch
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Aug 4, 2020 - Jupyter Notebook
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
machine-learning
neural-networks
abc
bayesian-inference
density-estimation
likelihood-free
simulation-based-inference
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Jul 3, 2020 - Python
ML algorithm for real-time classification
machine-learning
algorithm
optimization
artificial-intelligence
classification
unsupervised-learning
density-estimation
online-learning
online-algorithms
classification-algorithm
category-learning
density-area
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Jul 21, 2017 - Python
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity."
pytorch
speech-synthesis
density-estimation
probabilistic-models
normalizing-flows
generative-models
deep-generative-model
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Dec 28, 2020 - Python
Neural Relation Understanding: neural cardinality estimators for tabular data
transformers
generative-model
learned-database
query-optimization
unsupervised-learning
cardinality-estimation
density-estimation
autoregressive-neural-networks
self-supervised-learning
deep-generative-model
learned-database-components
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Jun 7, 2021 - Python
Code for reproducing results in the sliced score matching paper (UAI 2019)
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Jan 7, 2020 - Python
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Apr 16, 2021 - Julia
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
crf
text-generation
generative-model
density-estimation
structured-prediction
paraphrase-generation
deep-generative-model
gradient-estimator
data-to-text
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Dec 1, 2020 - Python
Regularized Neural ODEs (RNODE)
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Jul 16, 2021 - Python
Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018
plane
beam
global-illumination
point
jacobian
photon-mapping
mitsuba
density-estimation
path-tracing
poisson-reconstruction
gradient-rendering
shift-mapping
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Sep 8, 2020 - C++
MintNet: Building Invertible Neural Networks with Masked Convolutions
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Dec 16, 2020 - Python
Implementation of non-linear independent components estimation (NICE) in pytorch
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May 23, 2020 - Python
Nonparametric Score Estimators, ICML 2020
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Jun 25, 2021 - Python
A clean room implementation of Structured Volume Sampling by Bowles and Zimmermann in Unity
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Jan 24, 2017 - C#
Libraries to analyze numerical simulations
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Dec 14, 2020 - Python
The julia package for nonparametric density estimate and regression
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Oct 3, 2018 - Julia
We got a stew going!
pytorch
variational-inference
density-estimation
boosting
normalizing-flows
variational-autoencoder
deep-generative-model
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Jun 8, 2021 - Python
A TensorFlow implementation of Invertible Residual Networks
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Jun 8, 2021 - Python
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