density-estimation
There are 166 repositories under density-estimation topic.
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
bayesiains/nflows
Normalizing flows in PyTorch
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
ikostrikov/pytorch-flows
PyTorch implementations of algorithms for density estimation
probabilists/zuko
Normalizing flows in PyTorch
johannbrehmer/manifold-flow
Manifold-learning flows (ℳ-flows)
ex4sperans/variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
aravindsrinivas/flowpp
Code for reproducing Flow ++ experiments
nicola-decao/BNAF
Pytorch implementation of Block Neural Autoregressive Flow
LukasRinder/normalizing-flows
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
ermongroup/sliced_score_matching
Code for reproducing results in the sliced score matching paper (UAI 2019)
senya-ashukha/real-nvp-pytorch
Real NVP PyTorch a Minimal Working Example | Normalizing Flow
paulbrodersen/entropy_estimators
Estimators for the entropy and other information theoretic quantities of continuous distributions
mlr-org/mlr3proba
Probabilistic Learning for mlr3
probabilists/lampe
Likelihood-free AMortized Posterior Estimation with PyTorch
TrentBrick/PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
sissa-data-science/DADApy
Distance-based Analysis of DAta-manifolds in python
naru-project/naru
Neural Relation Understanding: neural cardinality estimators for tabular data
cfinlay/ffjord-rnode
Regularized Neural ODEs (RNODE)
jobovy/extreme-deconvolution
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
CarsonScott/Online-Category-Learning
ML algorithm for real-time classification
joshday/AverageShiftedHistograms.jl
⚡ Lightning fast density estimation in Julia ⚡
mackelab/delfi
Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
L0SG/NanoFlow
PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
kimmo1019/Roundtrip
Roundtrip: density estimation with deep generative neural networks
FranxYao/Gumbel-CRF
Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs
franciscovillaescusa/Pylians3
Libraries to analyze numerical simulations (python3)
DakshIdnani/pytorch-nice
Implementation of non-linear independent components estimation (NICE) in pytorch
tersekmatija/lwcc
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
gradientpm/gvpm
Gradient-domain Volumetric Photon Density Estimation, SIGGRAPH 2018
ermongroup/mintnet
MintNet: Building Invertible Neural Networks with Masked Convolutions
franciscovillaescusa/Pylians
Libraries to analyze numerical simulations
miskcoo/kscore
Nonparametric Score Estimators, ICML 2020
jstmn/ikflow
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
settylab/Mellon
Non-parametric density inference for single-cell analysis.