GitHub topics: probabilistic-graphical-models

Repositories

ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

Language: Julia - Size: 108 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 116 - Forks: 15

extropic-ai/thrml

Thermodynamic Hypergraphical Model Library in JAX

Language: Python - Size: 32.7 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 839 - Forks: 99

jasp-stats/jaspJags

The JAGS Module

Language: R - Size: 2.55 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 10

TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

Language: Julia - Size: 40.9 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 2,183 - Forks: 230

patymunoz/modelos-graficos-probabilisticos

This repository contains a Sphinx project for the documentation of the Probabilistic Graphical Models course (master’s degree level), hosted on Read the Docs.

Language: Jupyter Notebook - Size: 28.4 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 6

alexgarciaduran/perceptual_bistability

Code for my PhD project on perceptual inference.

Language: Python - Size: 1.84 MB - Last synced at: 12 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

ropeless/compiled_knowledge

CompiledKnowledge is a Python package for compiling and querying discrete probabilistic graphical models.

Language: Python - Size: 2.11 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

agrumery/aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Language: Jupyter Notebook - Size: 327 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 45 - Forks: 0

Bayesian network structure learning using hybrid K2 search and hill climbing optimization. Discovers causal relationships in observational data across datasets with 8-50 variables and up to 10K samples.

Language: Julia - Size: 3 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

msmrexe/python-bayesian-network-inference

A Python implementation of Bayesian Networks from scratch, featuring exact inference (Variable Elimination) and approximate inference algorithms (Rejection Sampling, Gibbs Sampling, and Likelihood Weighting).

Language: Python - Size: 40 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 0

jaanli/variational-autoencoder

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

Language: Python - Size: 94.7 KB - Last synced at: 23 days ago - Pushed at: over 1 year ago - Stars: 1,175 - Forks: 259

erikdeluca/Blood-Donors

Analyses, predictive models, and a monitoring dashboard to forecast future donation patterns, combining Bayesian models, Hidden Markov Models, and Generalized Linear Models.

Language: Jupyter Notebook - Size: 176 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 1

meringlab/FlashWeave.jl

Inference of microbial interaction networks from large-scale heterogeneous abundance data

Language: Julia - Size: 1.32 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 89 - Forks: 8

ilke-kas/probabilistic-graphic-models

A portfolio of advanced projects in probabilistic graphical models (PGMs), featuring hands-on notebooks for model design, inference, and real-world applications. Includes work on Bayesian networks, image denoising, and creative PGM explorations. Ideal for data science, machine learning, and AI.

Language: Jupyter Notebook - Size: 8.33 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ComputationalPsychiatry/pyhgf

PyHGF: A neural network library for predictive coding

Language: Python - Size: 1.11 GB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 101 - Forks: 26

probcomp/PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Language: Julia - Size: 1.37 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 227 - Forks: 32

biaslab/ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Language: Julia - Size: 33.3 MB - Last synced at: 10 days ago - Pushed at: over 2 years ago - Stars: 151 - Forks: 34

hayesall/awesome-bayes-nets

⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

Language: Python - Size: 833 KB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 3

jmschrei/pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

Language: Python - Size: 52.8 MB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 3,475 - Forks: 593

flyaflya/causact

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

Language: R - Size: 12.9 MB - Last synced at: 20 days ago - Pushed at: 2 months ago - Stars: 48 - Forks: 12

zakeria/uGMM

uGMM-NN: Univariate Gaussian Mixture Model Neural Network

Language: Python - Size: 608 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

UBC-Stat-ML/blangSDK

Blang's software development kit

Language: Xtend - Size: 3.09 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 6

zhidacaishu/notebook

This document contains Henry's study notes.

Size: 3.75 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

RenatoGeh/godrive

GoDrive is an application of autonomous driving through image classification using sum-product networks.

Language: Go - Size: 25.4 KB - Last synced at: about 1 month ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

Novartis/scar

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

Language: Python - Size: 60 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 5

IDSIA/credici

Credici: Credal Inference for Causal Inference

Language: Java - Size: 986 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 17 - Forks: 2

sadrasabouri/pyrandwalk

:walking:Python Library for Random Walks

Language: Jupyter Notebook - Size: 196 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 2

trungnt13/odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

Language: Python - Size: 7.02 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 23 - Forks: 11

Aqib121201/Interactive-Bayesian-Network-Playground-with-Inference-Heatmaps

Visual web app to define & run inference on Bayesian networks with heatmap outputs

Language: Python - Size: 40 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

cbg-ethz/SGS

Inference in Bayesian Networks with R

Language: R - Size: 5.21 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 12 - Forks: 3

realjules/cvae-quadratreeMRF

A novel semi-supervised framework combining contrastive learning with hierarchical probabilistic graphical models for remote sensing with limited labeled data. Our approach enhances CRFNet by learning discriminative representations from unlabeled imagery while capturing multi-resolution spatial dependencies.

Language: Python - Size: 30.1 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mpes-kit/fuller

Probabilistic machine learning for reconstruction and parametrization of electronic band sturcture from photoemission spectroscopy data

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 13 - Forks: 3

hao-lh/the-books-making-you-better

This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your expertise, and fuel you drive better, whether you’re exploring new fields, honing in-demand skills, or simply looking for fresh perspectives.

Size: 254 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 181 - Forks: 22

baimamboukar/causual-structure-discovery-spacecraft-telemetry

Detecting anomalies in satellites telemetry data using Probabilistic Graphical Models

Language: Jupyter Notebook - Size: 30.9 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

andreacasalino/Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

Language: C++ - Size: 17.9 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 37 - Forks: 5

Wang-ML-Lab/interpretable-foundation-models

[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models

Language: Python - Size: 52.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 15 - Forks: 3

hyu-ub/BayesNetBP

R package for inference in Bayesian networks.

Language: R - Size: 5.58 MB - Last synced at: 29 days ago - Pushed at: 6 months ago - Stars: 20 - Forks: 3

florist-notes/CS228_PGM

🌲 Stanford CS 228 - Probabilistic Graphical Models

Language: Python - Size: 50.2 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 132 - Forks: 38

shlizee/TimeAwarePC

A python package for finding causal functional connectivity from neural time series observations.

Language: Python - Size: 29.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 17 - Forks: 2

guoguibing/librec

LibRec: A Leading Java Library for Recommender Systems, see

Language: Java - Size: 83.6 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 3,251 - Forks: 1,030

tare/Splotch

Splotch is a hierarchical generative probabilistic model for analyzing Spatial Transcriptomics (ST) data

Language: Jupyter Notebook - Size: 101 MB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 21 - Forks: 6

dotnet/mbmlbook

Sample code for the Model-Based Machine Learning book.

Language: C# - Size: 6.02 MB - Last synced at: 6 months ago - Pushed at: over 4 years ago - Stars: 293 - Forks: 84

StatisticalRelationalAI/EpsilonAdvancedColourPassing

Source code for the paper "Approximate Lifted Model Construction" (IJCAI 2025)

Language: Julia - Size: 22 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

Tuebel/BayesNet.jl Fork of rwth-irt/BayesNet.jl

Type stable implementation of a Bayesian network.

Language: Julia - Size: 320 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

rwth-irt/BayesNet.jl 📦

Moved to https://github.com/Tuebel/BayesNet.jl

Language: Julia - Size: 312 KB - Last synced at: 25 days ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

martinjolif/MVA

Assignments and Projects from the Master 2 MVA at ENS Paris-Saclay

Language: Jupyter Notebook - Size: 262 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kmario23/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Language: HTML - Size: 261 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 12,525 - Forks: 2,950

bavafaali/Generative-Models

Language: Jupyter Notebook - Size: 3.89 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

rodri-santos/APRP-2024

Implementação de modelos probabilísticos e generativos no âmbito da cadeira Aprendizagem Probabilística e Reconhecimento de Padrões do 2.º semestre de 2023/2024 do 3º ano da Licenciatura em Engenharia e Ciência de Dados no DEI - Universidade de Coimbra.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

tonysy/awesome-graph-networks

Materials for Graph Models and Graph Networks

Size: 23.7 MB - Last synced at: 19 days ago - Pushed at: over 7 years ago - Stars: 11 - Forks: 1

chyikwei/bnp

Bayesian nonparametric models for python

Language: Python - Size: 6.44 MB - Last synced at: 7 months ago - Pushed at: about 7 years ago - Stars: 18 - Forks: 4

StatisticalRelationalAI/LIFAGU-Extended

Source code for the paper "Lifting Factor Graphs with Some Unknown Factors for New Individuals" (IJAR 2025)

Language: Julia - Size: 22 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

stardust-88/Variational_Autoencoders

Pytorch implementation of Variational Autoencoders - a popular deep generative probabilistic graphical model.

Language: Python - Size: 26 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 0

ekinakyurek/DPMM.jl

Clustering via Dirichlet Process Mixture Models

Language: Julia - Size: 5.25 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 2

deep-learning-drizzle/deep-learning-drizzle.github.io

webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses

Language: HTML - Size: 722 KB - Last synced at: 10 months ago - Pushed at: about 3 years ago - Stars: 25 - Forks: 6

aditeyabaral/lok-sabha-election-twitter-analysis

Twitter Feeds were analysed during the Lok Sabha Elections 2019 to guage the overall popularities of each party and predict the winner based solely on the tweets made by the population. This was made as a part of our Data Science course (UE18CS203) at PES University.

Language: Jupyter Notebook - Size: 59.3 MB - Last synced at: 7 months ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 1

kpoeppel/pytorch_probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch

Language: Python - Size: 44.9 KB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 49 - Forks: 6

ax-va/Project-BayesianPy

This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.

Language: Python - Size: 1.54 MB - Last synced at: 8 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

StatisticalRelationalAI/AlphaAdvancedColourPassing

Source code for the paper "Lifted Model Construction without Normalisation: A Vectorised Approach to Exploit Symmetries in Factor Graphs" (LoG 2024)

Language: Julia - Size: 22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

xzluo97/X-metric

X-Metric: An N-Dimensional Information-Theoretic Framework for Groupwise Registration and Deep Combined Computing (TPAMI 2023)

Language: Python - Size: 38 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 2

tomsch420/fglib2

Clean Factor Graphs in Python

Language: Python - Size: 143 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 1

hamzaelsaawy/DiscreteFactors.jl

Factor potentials for factor graphs, Bayesian networks, and Markov random fields

Language: Julia - Size: 108 KB - Last synced at: 5 months ago - Pushed at: over 8 years ago - Stars: 3 - Forks: 2

anchen1011/ros-robot-inference

Robot behavior inference system based on ROS

Language: Python - Size: 41 KB - Last synced at: about 1 month ago - Pushed at: almost 9 years ago - Stars: 0 - Forks: 1

speedcell4/torchlatent

High Performance Structured Prediction in PyTorch

Language: Python - Size: 256 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 0

samuelsonric/AlgebraicInference.jl

Bayesian inference on wiring diagrams.

Language: Julia - Size: 1.77 MB - Last synced at: 7 months ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 1

hainn2803/Training-Session-Machine-Learning-lab-2023

Training phases in Machine Learning lab at HUST, Spring 2023

Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MarcoSciorilli/Probabilistic_Machine_Learning

Repository of my notes and exercises on the course of Probabilistic Machine Learning by Prof. Luca Bortolussi at the University of Trieste in the year 2020/2021

Language: Jupyter Notebook - Size: 2.61 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 5 - Forks: 0

aarryasutar/Pipe_Leak_Estimation_Predictor_Model

The project builds a Bayesian Network using pressure sensor data to detect pipe leaks, employing probabilistic reasoning to determine the likelihood of leaks based on sensor readings. It involves loading dataset, defining network structure, calculating CPDs, adding them to model, and using Variable Elimination algorithm for inference

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

kirangauthier/enzymeBayesKucukelbir

Repository for Machine Learning with Probabilistic Programming by Alp Kucukelbir

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - 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: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

StatisticalRelationalAI/DECOR

Source code for the paper "Efficient Detection of Commutative Factors in Factor Graphs" (PGM 2024)

Language: Julia - Size: 28.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Zeta611/stappl

🎲 Statically typed probabilistic programming language, feat. GADT

Language: OCaml - Size: 835 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

SourabhKul/Pyro-Tutorial

A tutorial for getting started with PPLs and Pryo

Language: Python - Size: 21.5 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 0

ETAOIK/UCAS_Probabilistic_Graphical_Model_2024Summer

国科大2024夏季学期概率图模型作业

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LucasKleaL/ProbabilisticAlgorithms

Probabilistic Algorithms class projects and datasets.

Size: 979 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

poypoyan/edhsmm 📦

An(other) implementation of Explicit Duration Hidden Semi-Markov Models in Python 3

Language: Jupyter Notebook - Size: 218 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 3

arranger1044/DEBD

A collection of commonly used datasets as benchmarks for density estimation in MaLe

Language: Python - Size: 21 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 17 - Forks: 9

anmold-07/Probabilistic-Graphical-Models-from-Scratch

Implementation of various inference and learning algorithms for Probabilistic Graphical Models (PGMs) without off-the-shelf libraries. Also includes projects from the PGM specialization on Coursera offered by Stanford.

Language: MATLAB - Size: 4.12 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1

yanshengjia/link

Undergraduate graduation project (Entity Linking System in Web Tables with Multiple Linked Knowledge Bases) at SEU.

Language: HTML - Size: 39.1 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 8 - Forks: 2

carlvilla/Multi-CTBNCs

Tool for learning and applying multi-dimensional continuous-time Bayesian network classifiers.

Language: Java - Size: 140 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1

gordonmckenzie/oncogeriatrics-synthetic-data

Oncogeriatric synthetic data generator for research purposes.

Language: Python - Size: 29.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

StatisticalRelationalAI/DEFT

Source code for the paper "Efficient Detection of Exchangeable Factors in Factor Graphs" (FLAIRS 2024)

Language: Julia - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

StatisticalRelationalAI/LiftedCausalInference

Source code for the paper "Lifted Causal Inference in Relational Domains" (CLeaR 2024)

Language: Julia - Size: 21.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

StatisticalRelationalAI/LIFAGU

Source code for the paper "Lifting Factor Graphs with Some Unknown Factors" (ECSQARU 2023)

Language: Julia - Size: 21.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

franciscopalmeromoya/biosc

Bayesian Inference of open cluster ages from photometry, parallaxes and Lithium measurements.

Language: Jupyter Notebook - Size: 2.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 3

vsimkus/pmr2024-pgm-demo

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

Language: Jupyter Notebook - Size: 470 KB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 3

StatisticalRelationalAI/AdvancedColourPassing

Source code for the paper "Colour Passing Revisited: Lifted Model Construction with Commutative Factors" (AAAI 2024)

Language: Julia - Size: 22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

alexz01/Probabilistic-graphical-model-AND-dataset

Build probabilistic model for AND dataset using pgmpy

Language: Python - Size: 16.6 KB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

ohmthanap/CS559_Machine-Learning-Fundamentals-Applications

Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting

Language: Jupyter Notebook - Size: 62.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0