22 results found Sort:

Awesome resources on normalizing flows.
Created 2019-12-11
110 commits to main branch, last one about a month ago
118
848
mit
29
Normalizing flows in PyTorch
Created 2020-02-17
160 commits to master branch, last one about a year ago
PyTorch implementation of normalizing flow models
Created 2020-01-28
757 commits to master branch, last one 2 months ago
PyTorch implementations of algorithms for density estimation
Created 2018-09-01
42 commits to master branch, last one 3 years ago
Normalizing flows in PyTorch
Created 2022-10-11
120 commits to master branch, last one about a month ago
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Created 2020-12-15
20 commits to main branch, last one 2 years ago
Pytorch implementation of Block Neural Autoregressive Flow
Created 2019-04-02
26 commits to master branch, last one 3 years ago
Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
Created 2020-01-30
31 commits to master branch, last one 2 months ago
Estimators for the entropy and other information theoretic quantities of continuous distributions
Created 2016-03-10
44 commits to master branch, last one 6 months ago
20
130
lgpl-3.0
13
Probabilistic Learning for mlr3
Created 2019-07-25
1,800 commits to main branch, last one 26 days ago
Likelihood-free AMortized Posterior Estimation with PyTorch
Created 2021-12-20
121 commits to master branch, last one 3 months ago
18
108
apache-2.0
7
Distance-based Analysis of DAta-manifolds in python
Created 2021-02-16
899 commits to main branch, last one a day ago
Discrete Normalizing Flows implemented in PyTorch
Created 2020-01-31
22 commits to master branch, last one 3 years ago
33
99
apache-2.0
7
Neural Relation Understanding: neural cardinality estimators for tabular data
Created 2019-11-20
3 commits to master branch, last one 4 years ago
Regularized Neural ODEs (RNODE)
Created 2020-05-19
3 commits to master branch, last one 4 years ago
Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data
Created 2014-01-17
273 commits to main branch, last one 2 days ago
⚡ Lightning fast density estimation in Julia ⚡
Created 2015-02-19
358 commits to master branch, last one about a year ago
3
63
gpl-3.0
2
Non-parametric density inference for single-cell analysis.
Created 2022-10-28
474 commits to main branch, last one 4 days ago
Roundtrip: density estimation with deep generative neural networks
Created 2019-12-18
139 commits to master branch, last one 6 months ago
Libraries to analyze numerical simulations (python3)
Created 2019-11-23
222 commits to master branch, last one 5 days ago
5
56
other
4
Open source implementation to the paper "IKFlow: Generating Diverse Inverse Kinematics Solutions"
Created 2022-03-29
138 commits to master branch, last one 20 days ago
LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.
Created 2021-07-17
13 commits to master branch, last one 3 years ago