Search Results - RepositoryStats

126

1.5k

mit

45

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

110 commits to main branch, last one 2 months ago

nflows bayesiains

120

857

mit

29

Normalizing flows in PyTorch

pytorch generative-model normalizing-flows density-estimation

Created 2020-02-17

160 commits to master branch, last one about a year ago

normalizing-flows VincentStimper

110

749

mit

15

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

757 commits to master branch, last one 3 months ago

pytorch-flows ikostrikov

75

577

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

24

346

mit

13

Normalizing flows in PyTorch

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

Created 2022-10-11

124 commits to master branch, last one 26 days ago

soft-intro-vae-pytorch taldatech

26

196

apache-2.0

8

[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

34

176

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 3 years ago

normalizing-flows LukasRinder

37

145

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

31 commits to master branch, last one 3 months ago

entropy_estimators paulbrodersen

26

134

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 7 months ago

mlr3proba mlr-org

20

133

lgpl-3.0

14

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

1,833 commits to main branch, last one 2 days ago

lampe probabilists

12

121

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

121 commits to master branch, last one 4 months ago

DADApy sissa-data-science

18

110

apache-2.0

7

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

899 commits to main branch, last one about a month ago

PyTorchDiscreteFlows TrentBrick

13

107

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 3 years ago

naru naru-project

33

99

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

82

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

80

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

273 commits to main branch, last one about a month ago

AverageShiftedHistograms.jl joshday

10

74

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 about a year ago

Mellon settylab

3

64

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

481 commits to main branch, last one 8 days ago

Roundtrip kimmo1019

13

61

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 7 months ago

Pylians3 franciscovillaescusa

31

60

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

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

ikflow jstmn

5

57

other

4

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

142 commits to master branch, last one 3 days ago

lwcc tersekmatija

9

52

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 3 years ago