obiyoag/BayeSeg

[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

Language: Python - Size: 401 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 81 - Forks: 5

ashes-github/MSc-ESO-project

To Identify Latent Structure from High Dimensional Data Space

Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

JBris/prefect-surrogate-models

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

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ebonilla/VGCN

Variational Graph Convolutional Networks

Language: Python - Size: 13.1 MB - Last synced at: about 1 month ago - Pushed at: over 4 years ago - Stars: 22 - Forks: 4

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 at: about 2 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 1

gd-zhang/noisy-K-FAC

Natural Gradient, Variational Inference

Language: Python - Size: 296 KB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 29 - Forks: 5

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 at: 7 months ago - Pushed at: about 6 years ago - Stars: 285 - Forks: 57

vsimkus/torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

Language: Python - Size: 16.6 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 1

andreofner/pyGPC

Generalized Predictive Coding in Torch

Language: Python - Size: 40.4 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 3

fbao-fudan/DVIB

DVIB is an information bottleneck method that tries to disentangle multiview data into shared and private representations.

Language: Python - Size: 165 KB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 8 - Forks: 0

wiseodd/probabilistic-models

Collection of probabilistic models and inference algorithms

Language: Python - Size: 26.4 KB - Last synced at: 3 days ago - Pushed at: about 5 years ago - Stars: 241 - Forks: 76

tillahoffmann/time_series

Model-based time series clustering using variational inference.

Language: Jupyter Notebook - Size: 7.3 MB - Last synced at: 20 days ago - Pushed at: over 6 years ago - Stars: 12 - Forks: 7

srvCodes/clap4clip

Code for our NeurIPS´24 paper

Language: Python - Size: 5.58 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 1

biomedia-mira/demystifying-diffusion

Language: TeX - Size: 4.2 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 3

CrawlingKiming/AdVI

Official code for [Fast Compartment Model Calibration using Annealed and Transformed Variational Inference]

Language: Python - Size: 231 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 2 - Forks: 0

vLAR-group/UnsupObjSeg

🔥Benchmarking Unsupervised Obj Seg (NeurIPS 2022 & IJCV 2024)

Language: Python - Size: 13.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 34 - Forks: 1

mingzhang-yin/SIVI

A variational inference method with accurate uncertainty estimation. It uses a new semi-implicit variational family built on neural networks and hierarchical distribution (ICML 2018).

Language: MATLAB - Size: 740 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 53 - Forks: 14

amzn/MXFusion 📦

Modular Probabilistic Programming on MXNet

Language: Python - Size: 6.98 MB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 104 - Forks: 31

jordandeklerk/Amortized-Bayes

Implementing Bayesian neural networks to close the amortization gap in VAEs in PyTorch

Language: Python - Size: 7.55 MB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

dirmeier/dmvi

Diffusion models for probabilistic programming

Language: Jupyter Notebook - Size: 1.13 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

tkusmierczyk/lcvi

Variational Bayesian decision-making for continuous utilities

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 5 days ago - Pushed at: over 5 years ago - Stars: 7 - Forks: 2

tmaklin/rcgpar

c++ library for parallel and distributed estimation of mixture model components using variational inference.

Language: C++ - Size: 1.16 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 2

j-min/Dropouts

PyTorch Implementations of Dropout Variants

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mancusolab/sushie

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

Language: Python - Size: 1.03 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 14 - Forks: 3

MC00614/mppi_ipddp_cpp

C++ Implementation of MPPI-IPDDP (Model Predictive Path Integral - Interior Point Differential Dynamic Programming) and Testing with MPPI variants and Multiple Environments

Language: C++ - Size: 1.38 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

sob-ANN/Projects

Project Portfolio

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ChampiB/Homing-Pigeon

Homing Piegon is an inference framework implementing Variational Message Passing. It can be used to implement an Active Inference agent that performs planning using a Tree Search algorithm that can been seen as a form of Bayesian Model Expansion.

Language: C++ - Size: 947 KB - Last synced at: 2 months ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 0

FabriDeCastelli/ISPR-23-24

Intelligent Systems for Pattern Recognition 2023/2024 course repository

Language: Jupyter Notebook - Size: 27.8 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

sathya-ml/variational-inference-pyro-lab

Materials for a 2022/23 CS graduate lab on variational inference and probabilistic programming with Pyro-PPL.

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ermongroup/Variational-Ladder-Autoencoder

Implementation of VLAE

Language: Python - Size: 26.3 MB - Last synced at: about 1 month ago - Pushed at: over 7 years ago - Stars: 215 - Forks: 47

andreaskapou/Melissa

Bayesian Clustering and Imputation of Single Cell Methylomes

Language: R - Size: 5.22 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 7

4ment/physher

A multi-algorithmic framework for phylogenetic inference

Language: C - Size: 2.37 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 14 - Forks: 2

HGangloff/dgmrf

Deep Gaussian Markov Random Fields and their extensions

Language: Jupyter Notebook - Size: 9.71 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

mhw32/antithetic-vae-public

PyTorch implementation for " Differentiable Antithetic Sampling for Variance Reduction in Stochastic Variational Inference" (https://arxiv.org/abs/1810.02555).

Language: Python - Size: 750 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 0

KarenUllrich/binary-VAE

A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.

Language: Python - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 3

maremita/phd_projects

Thesis projects

Size: 9.22 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

citiususc/voila

Variational Inference for Langevin Equations

Language: R - Size: 1.26 MB - Last synced at: 3 months ago - Pushed at: almost 8 years ago - Stars: 21 - Forks: 3

EdoardoBotta/Gaussian-Mixture-VAE

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables.

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

abhiagwl/Improving_Inference_in_VAE

Code for the ongoing project on improving inference in variational autoencoder by using real non volume preserving transformations(rNVP).

Language: Jupyter Notebook - Size: 438 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

ngiann/GaussianVariationalInference.jl

Approximate variational inference in Julia

Language: Julia - Size: 877 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

andreofner/PredProp

Approximate Natural Gradient Descent with precision weighted predictive coding

Language: Python - Size: 6.84 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

amoretti86/phylo

Variational Combinatorial Sequential Monte Carlo methods for Bayesian Phylogenetic Inference

Language: Python - Size: 3.49 MB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 3

hwalsuklee/tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

Language: Python - Size: 590 KB - Last synced at: 2 months ago - Pushed at: about 8 years ago - Stars: 150 - Forks: 41

akosiorek/sqair

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

Language: Jupyter Notebook - Size: 355 KB - Last synced at: 2 months ago - Pushed at: about 6 years ago - Stars: 97 - Forks: 27

latentnetworks/vimure

Variational Inference for Multiply-Reported social network data https://doi.org/10.1093/jrsssa/qnac004

Language: Python - Size: 16.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 12 - Forks: 6

zhihanyang2022/bayesian-mixture-of-gaussians

Numpy code for Coordinate Ascent Variational Inference for the Bayesian mixture of Gaussians model (Sec 10.2 of Bishop's PRML).

Language: Jupyter Notebook - Size: 188 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

aidanscannell/GPJax 📦

Minimal Gaussian process library in JAX with a simple (custom) approach to state management.

Language: Python - Size: 882 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 11 - Forks: 0

sunsided/vae-style-transfer 📦

An experiment in VAE-based artistic style transfer by embedding fiddling.

Language: Python - Size: 638 KB - Last synced at: 4 months ago - Pushed at: over 6 years ago - Stars: 36 - Forks: 4

Himscipy/bnn_hvd

Distributed Training of Bayesian Neural Networks at Scale

Language: Python - Size: 198 MB - Last synced at: 7 months ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 6

gaddamanil16/Latent-Dirichlet-Allocation

Language: Python - Size: 3.91 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 1

TuragaLab/vae

Model-agnostic variational autoencoder tools

Language: Python - Size: 29.3 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 3 - Forks: 1

xqding/AIWAE

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

Language: Python - Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 2

pomonam/NoisyNaturalGradient

TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".

Language: Python - Size: 2.67 MB - Last synced at: about 5 hours ago - Pushed at: over 6 years ago - Stars: 60 - Forks: 8

addtt/variational-diffusion-models

PyTorch implementation of Variational Diffusion Models.

Language: Python - Size: 12.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 54 - Forks: 4

keyuan/ccube

Bayesian mixture models for estimating and clustering cancer cell fractions

Language: R - Size: 697 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 8

wataruhashimoto52/bayesian-deep-learning

Inference Algorithms for Bayesian Deep Learning

Language: Python - Size: 68.4 KB - Last synced at: about 1 year ago - Pushed at: over 2 years 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 at: about 1 year ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

wataruhashimoto52/Edward-models

Deep Bayesian Modelling using Edward & Tensorflow

Language: Jupyter Notebook - Size: 565 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

bahjat-kawar/ddrm

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

Language: Python - Size: 3.14 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 506 - Forks: 51

kristpapadopoulos/neural-processes

Keras, Tensorflow eager execution implementation of Neural Processes

Language: Python - Size: 169 KB - Last synced at: about 1 year ago - Pushed at: over 6 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 at: about 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 4

nitingarg1000/Variational-Inference-and-MCMC

Language: R - Size: 3.74 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

ramachandran-lab/HEBAE

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

Language: Python - Size: 4.35 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

tillahoffmann/elboflow 📦

Language: Python - Size: 114 KB - Last synced at: about 1 year ago - Pushed at: about 8 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 at: about 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 9

geekysuavo/vbnmr

Variational Bayes for the time-domain NMR model

Language: C - Size: 354 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

geekysuavo/vfl

Variational Feature Learning

Language: C - Size: 720 KB - Last synced at: about 1 year ago - Pushed at: almost 4 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 at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

cambridge-mlg/DUN

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

Language: Jupyter Notebook - Size: 34.8 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 71 - Forks: 11

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 at: over 1 year ago - Pushed at: almost 2 years 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 at: over 1 year ago - Pushed at: almost 2 years 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 at: about 1 month ago - Pushed at: about 5 years ago - Stars: 25 - Forks: 3

slimgroup/ReliableAVI.jl

Code to reproduce results in "Reliable amortized variational inference with physics-based latent distribution correction", Geophysics 2023

Language: Julia - Size: 39.1 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 3

AlexIoannides/pymc-advi-hmc-demo

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

Language: Jupyter Notebook - Size: 397 KB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 14 - Forks: 4

pranaysy/MultimodalDCM

Tutorial covering group DCM analyses of fMRI and M/EEG

Language: MATLAB - Size: 187 KB - Last synced at: 7 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

aidanscannell/ModeRL

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

Language: Python - Size: 266 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

lacerbi/vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB (old location)

Size: 3.91 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

jpfeiffe/rmllib

Relational machine learning library for scalable learning / inference on social networks

Language: Python - Size: 59.6 KB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 8 - Forks: 5

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 at: about 1 year ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 6

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 at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

const-ae/mixdir

Cluster high dimensional categorical datasets

Language: R - Size: 336 KB - Last synced at: 6 days ago - Pushed at: almost 2 years ago - Stars: 14 - Forks: 0

mancusolab/susiepca

Scalable Ultra-Sparse Bayesian PCA

Language: Python - Size: 207 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 5

abhayraw1/planet-torch

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

Language: Python - Size: 788 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 0

gdikov/bayesian-architecture-learning

Implementation of "Bayesian Learning of Neural Network Architectures"

Language: Python - Size: 2.57 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

silvanmelchior/CBF-SSM

Official implementation of the CBF-SSM model

Language: Python - Size: 99.6 KB - Last synced at: 16 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 1

abdoush/SurVED

The Concordance Index Decomposition

Language: Python - Size: 957 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

seraphlabs-ca/MIM

Code for "MIM: Mutual Information Machine" paper.

Language: Python - Size: 148 MB - Last synced at: over 1 year ago - Pushed at: over 2 years 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 at: over 1 year ago - Pushed at: over 5 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 at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 2

saurabhmathur96/bayes-logistic-regression

Bayesian inference on logistic regression model

Language: Python - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

SHI-Yu-Zhe/generative-modeling-explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

Size: 992 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 43 - Forks: 7

inuyasha2012/vipsy

变分推断在教育测量模型中的应用（项目反应理论，认知诊断模型） variational inference for psychometrics model (item response theoy, cognitive diagnosis models)

Language: Python - Size: 81.1 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 17 - Forks: 5

konstantinos-p/Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Size: 82 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 2

lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Language: Python - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

souheib1/Deep-Latent-Variable-Models-exact-conditional-likelihood

Missing data imputation using the exact conditional likelihood of DLVM

Language: Python - Size: 84.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

wataruhashimoto52/svgd_tf

Implementation of Stein Variational Gradient Descent with TensorFlow 2.0

Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 0

deep-spin/sparse-marginalization-lvm

Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".

Language: Python - Size: 530 KB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 27 - Forks: 8

thjashin/gp-infer-net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

Language: Python - Size: 8.98 MB - Last synced at: 12 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 4

mgorinova/autoreparam

Automatic Reparameterisation of Probabilistic Programs

Language: Python - Size: 623 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 36 - Forks: 3