Search Results - RepositoryStats

117

1.3k

mit

43

Awesome resources on normalizing flows.

awesome-list autoregressive machine-learning normalizing-flows bayesian-inference density-estimation generative-modeling variational-inference bayesian-neural-networks

Created 2019-12-11

107 commits to main branch, last one 3 days ago

nflows bayesiains

121

814

mit

29

Normalizing flows in PyTorch

pytorch generative-model normalizing-flows density-estimation

Created 2020-02-17

160 commits to master branch, last one 7 months ago

normalizing-flows VincentStimper

98

634

mit

13

PyTorch implementation of normalizing flow models

glow pytorch real-nvp residual-flow normalizing-flow density-estimation neural-spline-flow variational-inference variational-autoencoder invertible-neural-networks

Created 2020-01-28

755 commits to master branch, last one 3 months ago

pytorch-flows ikostrikov

77

568

mit

18

PyTorch implementations of algorithms for density estimation

pytorch deep-learning probabilities neural-networks density-estimation

Created 2018-09-01

42 commits to master branch, last one 3 years ago

zuko probabilists

20

271

mit

13

Normalizing flows in PyTorch

torch probability deep-learning generative-model normalizing-flows density-estimation

Created 2022-10-11

113 commits to master branch, last one 3 days ago

soft-intro-vae-pytorch taldatech

27

190

apache-2.0

9

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

vae pytorch cvpr2021 vae-pytorch soft-introvae soft-intro-vae image-generation density-estimation variational-autoencoder

Created 2020-12-15

20 commits to main branch, last one 2 years ago

BNAF nicola-decao

33

173

mit

9

Pytorch implementation of Block Neural Autoregressive Flow

neural-networks normalizing-flows density-estimation variational-autoencoder

Created 2019-04-02

26 commits to master branch, last one 2 years ago

normalizing-flows LukasRinder

39

140

gpl-3.0

7

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

deep-learning generative-models normalizing-flows density-estimation

Created 2020-01-30

25 commits to master branch, last one 5 months ago

entropy_estimators paulbrodersen

25

124

gpl-3.0

8

Estimators for the entropy and other information theoretic quantities of continuous distributions

entropy density-estimation

Created 2016-03-10

44 commits to master branch, last one about a month ago

mlr3proba mlr-org

20

115

lgpl-3.0

11

Probabilistic Learning for mlr3

r mlr3 r-package machine-learning survival-analysis density-estimation supervised-learning probabilistic-regression probabilistic-supervised-learning

Created 2019-07-25

1,456 commits to main branch, last one a day ago

lampe probabilists

9

109

mit

8

Likelihood-free AMortized Posterior Estimation with PyTorch

python pytorch bayesian inference probability normalizing-flows density-estimation density-ratio-estimation likelihood-free-inference simulation-based-inference

Created 2021-12-20

113 commits to master branch, last one 4 months ago

PyTorchDiscreteFlows TrentBrick

13

104

unknown

3

Discrete Normalizing Flows implemented in PyTorch

pytorch deep-learning discrete-flows normalizing-flows density-estimation pytorch-implementation

Created 2020-01-31

22 commits to master branch, last one 2 years ago

DADApy sissa-data-science

16

97

apache-2.0

8

Distance-based Analysis of DAta-manifolds in python

python manifolds data-science data-analysis machine-learning density-estimation intrinsic-dimension density-based-clustering

Created 2021-02-16

808 commits to main branch, last one 29 days ago

naru naru-project

32

94

apache-2.0

7

Neural Relation Understanding: neural cardinality estimators for tabular data

transformers generative-model learned-database density-estimation query-optimization deep-generative-model unsupervised-learning cardinality-estimation self-supervised-learning learned-database-components autoregressive-neural-networks

Created 2019-11-20

3 commits to master branch, last one 4 years ago

ffjord-rnode cfinlay

15

80

mit

2

Regularized Neural ODEs (RNODE)

neural-ode generative-model normalizing-flow density-estimation

Created 2020-05-19

3 commits to master branch, last one 4 years ago

extreme-deconvolution jobovy

23

77

other

8

Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

c python uncertainty machine-learning density-estimation gaussian-mixture-models

Created 2014-01-17

271 commits to main branch, last one 4 months ago

AverageShiftedHistograms.jl joshday

10

73

other

5

⚡ Lightning fast density estimation in Julia ⚡

julia big-data online-algorithms density-estimation kernel-density-estimation

Created 2015-02-19

358 commits to master branch, last one 7 months ago

Roundtrip kimmo1019

13

62

mit

5

Roundtrip: density estimation with deep generative neural networks

gan deep-learning density-estimation deep-generative-model likelihood-free-inference

Created 2019-12-18

139 commits to master branch, last one 2 months ago

Pylians3 franciscovillaescusa

28

53

mit

4

Libraries to analyze numerical simulations (python3)

c voids cython n-body python3 bispectrum simulations hydrodynamics visualization power-spectrum density-estimation correlation-functions

Created 2019-11-23

214 commits to master branch, last one about a month ago

lwcc tersekmatija

6

49

mit

1

LWCC: A LightWeight Crowd Counting library for Python that includes several pretrained state-of-the-art models.

lwcc python pytorch density-map crowdcounting deep-learning crowd-counting machine-learning density-estimation

Created 2021-07-17

13 commits to master branch, last one 2 years ago

Mellon settylab

1

45

gpl-3.0

2

Non-parametric density inference for single-cell analysis.

single-cell differentiable density-estimation gaussian-processes cell-differentiation

Created 2022-10-28

452 commits to main branch, last one 6 days ago

ikflow jstmn

5

35

other

2

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

robotics machine-learning normalizing-flows density-estimation inverse-kinematics

Created 2022-03-29

132 commits to master branch, last one about a month ago