82 Open source projects that are alternatives of or similar to FactorGraph.jl

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

factor graph library

Codac is a library for constraint programming over reals, trajectories and sets.

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

Distributed system emulation in Common Lisp

gr-eventstream is a set of GNU Radio blocks for creating precisely timed events and either inserting them into, or extracting them from normal data-streams precisely. It allows for the definition of high speed time-synchronous c++ burst event handlers, as well as bridging to standard GNU Radio Async PDU messages with precise timing easily.

📈📄👀A lookup repo for a variety of discrete and continuous distributions (incl. Beta, Binomial, Cauchy, Chi-squared, Geometric, Hypergeometric, Normal & Poisson)

A multi-body simulation software

A Python Package For System Identification Using NARMAX Models

A free LDL factorisation routine

Source code for 'Dynamical Systems with Applications Using Python' by Stephen Lynch

This is a simple wallet REST api that is capable of acount deposits and withdrawals, checking for account balance and providing a ministatement. It follows domain driven design practices. The project uses the DDD architecture approach.

An implementation of AVP-SLAM and some new contributions

Nonlinear Dynamics: A concise introduction interlaced with code

Graph-based machine learning for chemical property prediction

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components

learning state-space targets in dynamical systems

sssMOR - Sparse State-Space and Model Order Reduction Toolbox

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Configurable ODE/PDE solver

Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.

Latent Differential Equations models in Julia.

A Robust and Versatile Monocular Visual-Inertial State Estimator

Simulation and visualization of articulated rigid body systems in Julia

Brain Dynamics Programming in Python

Implementation for IROS2020: "GMMLoc: Structure Consistent Visual Localization with Gaussian Mixture Model"

How fast are computers?

Source code and dataset for TKDE 2019 paper “Trust Relationship Prediction in Alibaba E-Commerce Platform”

A curated (most recent) list of resources for Learning with Noisy Labels

Julia package for automatic Bayesian inference on a factor graph with reactive message passing

A very fast Java Sudoku library implementation along with a command line client

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.

Simple implementations of chaotic maps in Processing

Lightweight Component Model and Messaging Framework based on ØMQ

A Python package for spectral proper orthogonal decomposition (SPOD).

Dynamical systems methods for RNA velocity analysis

1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.

Awesome list for Neural Network Optimization methods.

Continuous-time gradient flow for generative modeling and variational inference

egtplot: A python package for 3-Strategy Evolutionary Games

Numerical methods implementation in Python.

A message-passing distributed computing framework for node.js

Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.

Kalman filter using C++ and Manif

R package for statistical inference using partially observed Markov processes

Tensor Train Toolbox

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】

Learn mathematics behind machine learning and explore different mathematics in machine learning.

Vehicle State Estimation using Error-State Extended Kalman Filter

A bunch of state estimation algorithms

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.

Unscented kalman filter (UKF) library in python that supports multiple measurement updates

Message Queue, Job Queue, Broadcasting, WebSockets packages for PHP, Symfony, Laravel, Magento. DEVELOPMENT REPOSITORY - provided by Forma-Pro

A framework for generalised dynamical systems modelling & simulation (inspired by and compatible with cadCAD.org)

A simple and eloquent workflow for streaming messages to micro-services.

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

RaPId (a recursive acronym for "Rapid Parameter Identification") utilizes different optimization and simulation technologies to provide a framework for model validation and calibration of any kind of dynamical systems, but specifically catered to power systems.

Matlab implementation to simulate the non-linear dynamics of a fixed-wing unmanned areal glider. Includes tools to calculate aerodynamic coefficients using a vortex lattice method implementation, and to extract longitudinal and lateral linear systems around the trimmed gliding state.