shiyis/polsub-vae

This is an independent social science oriented EDA project on statistically measuring political subjectivity

Language: TeX - Size: 20 MB - Last synced: about 7 hours ago - Pushed: about 12 hours ago - Stars: 0 - Forks: 0

pyro-ppl/pyro

Deep universal probabilistic programming with Python and PyTorch

Language: Python - Size: 91.7 MB - Last synced: about 12 hours ago - Pushed: about 13 hours ago - Stars: 8,368 - Forks: 985

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 145 KB - Last synced: 1 day ago - Pushed: 21 days ago - Stars: 1,302 - Forks: 116

hruffieux/atlasqtl

atlasqtl R package - Fast global-local hotspot QTL detection

Language: R - Size: 791 KB - Last synced: 3 days ago - Pushed: 4 days ago - Stars: 4 - Forks: 2

Siris2314/AutoVariate

A python package made to streamline the usage of Variational Autoencoders, understand the algorithm first before using this package

Language: Python - Size: 22.7 MB - Last synced: 3 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

matthewvowels1/Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Size: 16.1 MB - Last synced: about 23 hours ago - Pushed: almost 3 years ago - Stars: 755 - Forks: 77

DongjunLee/vae-tensorflow

TensorFlow implementation of Auto-Encoding Variational Bayes.

Language: Python - Size: 679 KB - Last synced: 4 days ago - Pushed: about 6 years ago - Stars: 8 - Forks: 2

xqding/AIWAE

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

Language: Python - Size: 20.5 KB - Last synced: 6 days ago - Pushed: almost 5 years ago - Stars: 7 - Forks: 2

neka-nat/probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

Language: Python - Size: 47.7 MB - Last synced: 1 day ago - Pushed: 2 months ago - Stars: 789 - Forks: 143

jaanli/variational-autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Language: Python - Size: 94.7 KB - Last synced: 5 days ago - Pushed: 9 days ago - Stars: 1,120 - Forks: 255

shz9/viprs

Variational Inference of Polygenic Risk Scores

Language: Python - Size: 9.36 MB - Last synced: 6 days ago - Pushed: 7 days ago - Stars: 15 - Forks: 0

ngiann/GaussianVariationalInference.jl

Approximate variational inference in Julia

Language: Julia - Size: 873 KB - Last synced: 6 days ago - Pushed: 9 months ago - Stars: 4 - Forks: 0

fehiepsi/rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

Language: Jupyter Notebook - Size: 160 MB - Last synced: 1 day ago - Pushed: 3 months ago - Stars: 427 - Forks: 71

mancusolab/sushie

Software to perform multi-ancestry SNP fine-mapping on molecular data

Language: Python - Size: 922 KB - Last synced: 8 days ago - Pushed: 8 days ago - Stars: 13 - Forks: 2

RasmussenLab/MOVE

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

Language: Jupyter Notebook - Size: 540 MB - Last synced: 8 days ago - Pushed: 10 days ago - Stars: 55 - Forks: 21

mancusolab/FactorGo

Software to infer latent pleiotropic components from GWAS summary data

Language: Python - Size: 527 KB - Last synced: 9 days ago - Pushed: 9 days ago - Stars: 9 - Forks: 0

VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

Language: Python - Size: 7.21 MB - Last synced: 7 days ago - Pushed: 2 months ago - Stars: 606 - Forks: 94

addtt/variational-diffusion-models

PyTorch implementation of Variational Diffusion Models.

Language: Python - Size: 12.6 MB - Last synced: 9 days ago - Pushed: 10 days ago - Stars: 54 - Forks: 4

wataruhashimoto52/bayesian-deep-learning

Inference Algorithms for Bayesian Deep Learning

Language: Python - Size: 68.4 KB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

wataruhashimoto52/pytorch_examples

PyTorch & Pyro Examples for Natural Language Processing and Bayesian Inference.

Language: Python - Size: 2.93 KB - Last synced: 10 days ago - Pushed: almost 6 years ago - Stars: 0 - Forks: 0

wataruhashimoto52/Edward-models

Deep Bayesian Modelling using Edward & Tensorflow

Language: Jupyter Notebook - Size: 565 KB - Last synced: 10 days ago - Pushed: about 6 years ago - Stars: 1 - Forks: 0

GPflow/GPflow

Gaussian processes in TensorFlow

Language: Python - Size: 356 MB - Last synced: 12 days ago - Pushed: 18 days ago - Stars: 1,794 - Forks: 436

acerbilab/pyvbmc

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

Language: Python - Size: 99.5 MB - Last synced: 5 days ago - Pushed: 3 months ago - Stars: 107 - Forks: 4

sajadn/posterior-collapse-list

A curated list of techniques to avoid posterior collapse

Size: 106 KB - Last synced: about 21 hours ago - Pushed: over 1 year ago - Stars: 84 - Forks: 10

bahjat-kawar/ddrm

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

Language: Python - Size: 3.14 MB - Last synced: 10 days ago - Pushed: over 1 year ago - Stars: 506 - Forks: 51

andreofner/pyGPC

Generalized Predictive Coding in Torch

Language: Python - Size: 40.4 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 6 - Forks: 2

ermongroup/Variational-Ladder-Autoencoder

Implementation of VLAE

Language: Python - Size: 26.3 MB - Last synced: 10 days ago - Pushed: over 6 years ago - Stars: 215 - Forks: 49

sjchoi86/bayes-nn

Lecture notes on Bayesian deep learning

Size: 22 MB - Last synced: 10 days ago - Pushed: about 6 years ago - Stars: 478 - Forks: 114

kristpapadopoulos/neural-processes

Keras, Tensorflow eager execution implementation of Neural Processes

Language: Python - Size: 169 KB - Last synced: 15 days ago - Pushed: over 5 years ago - Stars: 6 - Forks: 1

kristpapadopoulos/categorical-variational-autoencoder

Keras, Tensorflow eager execution implementation of Categorical Variational Autoencoder

Language: Python - Size: 91.8 KB - Last synced: 15 days ago - Pushed: over 5 years ago - Stars: 6 - Forks: 2

BeeGass/VAEs

Reproducible code showing the various types of variational autoencoders I have implemented

Language: Python - Size: 62.6 MB - Last synced: 15 days ago - Pushed: about 2 years ago - Stars: 2 - Forks: 0

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced: about 2 hours ago - Pushed: 2 months ago - Stars: 43 - Forks: 10

pymc-devs/pymc

Bayesian Modeling and Probabilistic Programming in Python

Language: Python - Size: 508 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 8,135 - Forks: 1,921

tlienart/thox

[done] phd thesis @ oxford stats

Language: TeX - Size: 3.26 MB - Last synced: 16 days ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0

amzn/MXFusion

Modular Probabilistic Programming on MXNet

Language: Python - Size: 6.98 MB - Last synced: 5 days ago - Pushed: about 1 year ago - Stars: 102 - Forks: 31

caravagnalab/basilica

Detecting mutational signatures via bayesian inference and a reference catalog

Language: R - Size: 28.6 MB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 1 - Forks: 1

ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

Language: Julia - Size: 105 MB - Last synced: 20 days ago - Pushed: 21 days ago - Stars: 89 - Forks: 12

mlcolab/Pathfinder.jl

Preheat your MCMC

Language: Julia - Size: 21.5 MB - Last synced: 19 days ago - Pushed: 19 days ago - Stars: 74 - Forks: 4

stan-dev/cmdstanr

CmdStanR: the R interface to CmdStan

Language: R - Size: 25.4 MB - Last synced: 19 days ago - Pushed: 22 days ago - Stars: 132 - Forks: 59

nitingarg1000/Variational-Inference-and-MCMC

Language: R - Size: 3.74 MB - Last synced: 23 days ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

robert-giaquinto/dapper

Fast implementation of DAP topic model using Conjugate Computation Variational Inference

Language: Python - Size: 54.1 MB - Last synced: 25 days ago - Pushed: over 5 years ago - Stars: 1 - Forks: 1

jordandeklerk/Amortized-Bayes

Closing the amortization gap in Bayesian deep generative models (A-VI vs F-VI) in PyTorch

Language: Jupyter Notebook - Size: 7.14 MB - Last synced: 26 days ago - Pushed: 26 days ago - Stars: 0 - Forks: 0

cbg-ethz/scDEF

Deep exponential families for single-cell data.

Language: Python - Size: 38 MB - Last synced: 17 days ago - Pushed: 3 months ago - Stars: 15 - Forks: 0

AIH-SGML/mixmil

Code for the paper: Mixed Models with Multiple Instance Learning

Language: Jupyter Notebook - Size: 456 KB - Last synced: 22 days ago - Pushed: about 2 months ago - Stars: 7 - Forks: 0

yuta-nakahara/BayesML

Library for Bayesian machine learning

Language: Python - Size: 6.9 MB - Last synced: 4 days ago - Pushed: 6 months ago - Stars: 5 - Forks: 1

j-min/Dropouts

PyTorch Implementations of Dropout Variants

Language: Jupyter Notebook - Size: 3.91 KB - Last synced: 5 days ago - Pushed: over 6 years ago - Stars: 86 - Forks: 16

gnthibault/Optimisation-Python

A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.

Language: Jupyter Notebook - Size: 606 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 19 - Forks: 9

ramachandran-lab/HEBAE

Code and Analyses using the Hierarchical Empirical Bayes Autoencoder (HEBAE)

Language: Python - Size: 4.35 MB - Last synced: about 1 month ago - Pushed: almost 4 years ago - Stars: 3 - Forks: 0

ermongroup/Sequential-Variational-Autoencoder

Implementation of Sequential Variational Autoencoder

Language: Python - Size: 164 MB - Last synced: 10 days ago - Pushed: over 6 years ago - Stars: 84 - Forks: 15

SimonKohl/probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

Language: Jupyter Notebook - Size: 21 MB - Last synced: 15 days ago - Pushed: about 1 year ago - Stars: 537 - Forks: 99

omerbsezer/Generative_Models_Tutorial_with_Demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced: 15 days ago - Pushed: over 5 years ago - Stars: 323 - Forks: 40

tillahoffmann/vbzero

Minimal variational Bayes in torch.

Language: Python - Size: 111 KB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

tillahoffmann/mininf

mininf is a minimal library to infer the parameters of probabilistic programs and make predictions.

Language: Python - Size: 139 KB - Last synced: about 1 month ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

tillahoffmann/elboflow 📦

Language: Python - Size: 114 KB - Last synced: about 1 month ago - Pushed: about 7 years ago - Stars: 0 - Forks: 0

rogertrullo/Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

Language: Jupyter Notebook - Size: 1.24 MB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 7 - Forks: 9

geekysuavo/vbnmr

Variational Bayes for the time-domain NMR model

Language: C - Size: 354 KB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

geekysuavo/vfl

Variational Feature Learning

Language: C - Size: 720 KB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

ttperr/DD2434-ML-KTH

DD2434 - Machine Learning Advanced projects at KTH.

Language: Jupyter Notebook - Size: 106 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

vrettasm/VGPA

Variational Gaussian Process Approximation. This project contains a python3 implementation of the original VGPA algorithm for approximate inference in SDEs.

Language: Python - Size: 236 KB - Last synced: about 2 months ago - Pushed: 10 months ago - Stars: 4 - Forks: 1

AntoinePassemiers/Oriana

Variational Inference library for Probabilistic Count Matrix Factorization (pCMF) and single-cell expression data analysis

Language: Python - Size: 67.4 KB - Last synced: about 2 months ago - Pushed: 10 months ago - Stars: 4 - Forks: 1

pierresegonne/VINF

Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen

Language: Python - Size: 86.4 MB - Last synced: about 1 month ago - Pushed: almost 4 years ago - Stars: 25 - Forks: 3

JBris/nextflow-graph-machine-learning

A Nextflow pipeline demonstrating how to train graph neural networks for gene regulatory network reconstruction using DREAM5 data.

Language: Python - Size: 5.69 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 3 - Forks: 1

jeff-regier/Celeste.jl

Scalable inference for a generative model of astronomical images

Language: Jupyter Notebook - Size: 12.5 MB - Last synced: 20 days ago - Pushed: over 2 years ago - Stars: 180 - Forks: 28

Himscipy/bnn_hvd

Distributed Training of Bayesian Neural Networks at Scale

Language: Python - Size: 198 MB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 11 - Forks: 6

JBris/prefect-surrogate-models

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

Language: HTML - Size: 7.11 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 2 - Forks: 1

aidanscannell/ModeRL

Mode-constrained model-based-reinforcement learning in TensorFlow/GPflow

Language: Python - Size: 266 MB - Last synced: 3 days ago - Pushed: 3 days ago - Stars: 2 - Forks: 0

bayesgroup/deepbayes-2018

Seminars DeepBayes Summer School 2018

Language: Jupyter Notebook - Size: 25.4 MB - Last synced: 2 months ago - Pushed: over 4 years ago - Stars: 1,047 - Forks: 279

single-cell-genetics/vireo

Demultiplexing pooled scRNA-seq data with or without genotype reference

Language: Python - Size: 4.25 MB - Last synced: 2 months ago - Pushed: 3 months ago - Stars: 58 - Forks: 21

mhw32/variational-item-response-theory-public

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

Language: Python - Size: 66.4 KB - Last synced: about 2 months ago - Pushed: almost 4 years ago - Stars: 66 - Forks: 18

HGangloff/dgmrf

Deep Gaussian Markov Random Fields and their extensions

Language: Jupyter Notebook - Size: 5.5 MB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

yell/boltzmann-machines

Boltzmann Machines in TensorFlow with examples

Language: Jupyter Notebook - Size: 354 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 839 - Forks: 135

JakobHavtorn/benchmarking-lvms

Official source code repository for the paper "Benchmarking Generative Latent Variable Models for Speech"

Language: Python - Size: 90.8 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0

tufts-ml/graph-generation-vi

This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"

Language: Python - Size: 3.59 MB - Last synced: 1 day ago - Pushed: over 1 year ago - Stars: 25 - Forks: 6

abdulfatir/normalizing-flows

Understanding normalizing flows

Language: Jupyter Notebook - Size: 26.7 MB - Last synced: about 2 months ago - Pushed: over 4 years ago - Stars: 134 - Forks: 20

FranxYao/Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

Size: 32 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 388 - Forks: 33

const-ae/mixdir

Cluster high dimensional categorical datasets

Language: R - Size: 336 KB - Last synced: 6 days ago - Pushed: 8 months ago - Stars: 14 - Forks: 0

kumar-shridhar/PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

Language: Python - Size: 66.2 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 1,326 - Forks: 316

mancusolab/susiepca

Scalable Ultra-Sparse Bayesian PCA

Language: Python - Size: 207 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 21 - Forks: 5

clberube/ip-vae

PyTorch implementation of the time-domain induced polarization variational autoencoder

Language: Python - Size: 483 KB - Last synced: 3 months ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 1

vLAR-group/UnsupObjSeg

🔥Benchmarking Unsupervised Object Segmentation (NeurIPS 2022)

Language: Python - Size: 13.2 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 33 - Forks: 1

hoangcuong2011/Good-Papers

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

Size: 322 KB - Last synced: 2 months ago - Pushed: almost 5 years ago - Stars: 279 - Forks: 58

JavierAntoran/Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Language: Jupyter Notebook - Size: 15.6 MB - Last synced: 3 months ago - Pushed: 7 months ago - Stars: 1,697 - Forks: 289

abhayraw1/planet-torch

A PyTorch Implementation of PlaNet: A Deep Planning Network for Reinforcement Learning

Language: Python - Size: 788 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 9 - Forks: 0

pranaysy/MultimodalDCM

Tutorial covering group DCM analyses of fMRI and M/EEG

Language: MATLAB - Size: 187 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

svc-develop-team/so-vits-svc 📦

SoftVC VITS Singing Voice Conversion

Language: Python - Size: 10.6 MB - Last synced: 3 months ago - Pushed: 6 months ago - Stars: 22,615 - Forks: 4,398

4ment/physher

Phylogenetic analysis of genetic data

Language: C - Size: 2.36 MB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 14 - Forks: 1

gpstuff-dev/gpstuff

GPstuff - Gaussian process models for Bayesian analysis

Language: MATLAB - Size: 67.2 MB - Last synced: about 1 month ago - Pushed: over 1 year ago - Stars: 162 - Forks: 59

silvanmelchior/CBF-SSM

Official implementation of the CBF-SSM model

Language: Python - Size: 99.6 KB - Last synced: 17 days ago - Pushed: over 2 years ago - Stars: 6 - Forks: 0

lucadellalib/bdl-rul-svgd

Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent

Language: Python - Size: 11.6 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

4ment/torchtree

A probabilistic framework in PyTorch for phylogenetic models

Language: Jupyter Notebook - Size: 28.8 MB - Last synced: 26 days ago - Pushed: about 2 months ago - Stars: 12 - Forks: 2

larslorch/avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

Language: Python - Size: 695 KB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 43 - Forks: 5

YangLabHKUST/mfair

mfair: Matrix Factorization with Auxiliary Information in R

Language: R - Size: 40.8 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 5 - Forks: 1

sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms

Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms

Language: Python - Size: 6.39 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

abdoush/SurVED

The Concordance Index Decomposition

Language: Python - Size: 957 KB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

seraphlabs-ca/MIM

Code for "MIM: Mutual Information Machine" paper.

Language: Python - Size: 148 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 16 - Forks: 1

saurabhmathur96/variational-collaborative-filtering

Implementation of Variational Bayesian Approach to Movie Rating Prediction

Language: Python - Size: 941 KB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

saurabhmathur96/correlated-topic-model

An implementation of a topic model with logistic normal prior, as described by Blei and Lafferty (2007)

Language: Python - Size: 269 KB - Last synced: 3 months ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 2

saurabhmathur96/bayes-logistic-regression

Bayesian inference on logistic regression model

Language: Python - Size: 38.1 KB - Last synced: 3 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

desResLab/LINFA

A Python library for inference with normalizing flow and annealing

Language: Jupyter Notebook - Size: 5.59 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 12 - Forks: 1

ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Language: Jupyter Notebook - Size: 321 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 268 - Forks: 47