242 Open source projects that are alternatives of or similar to Particles

Machine learning, in numpy

A python module to detect stellar flares using Bayesian model comparison

Pharmaceutical Modeling and Simulation for Nonlinear Mixed Effects (NLME), Quantiative Systems Pharmacology (QsP), Physiologically-Based Pharmacokinetics (PBPK) models mixed with machine learning

Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)

Bayesian multi-object tracking

Robotics Toolbox for MATLAB

NIPS 2017: ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

How to do Bayesian statistical modelling using numpy and PyMC3

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波 数学函数拟合

Bayesian inference with probabilistic programming.

Variational autoencoders for collaborative filtering

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

The bookdown version lives here: https://bookdown.org/content/3890

A method for variant graph genotyping based on exact alignment of k-mers

Collection of notebooks about quantitative finance, with interactive python code.

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

An in-depth step-by-step tutorial for implementing sensor fusion with robot_localization! 🛰

BlackJAX is a sampling library designed for ease of use, speed and modularity.

rstanarm R package for Bayesian applied regression modeling

Statistical Rethinking with PyTorch and Pyro

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

Python package for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.

The Microbiome Interpretable Temporal Rule Engine

A qualitative probabilistic programming language based on ranking theory

Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"

A Python library that helps data scientists to infer causation rather than observing correlation.

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Generalized linear mixed-effect model in Python

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

Distributed Bayesian Entity Resolution in Apache Spark

Full Bayesian Inference for Hidden Markov Models

Loosely coupled integration of GNSS and IMU

Forecasting 🇫🇷 elections with Bayesian statistics 🥳

This contains a number of IP[y]: Notebooks that hopefully give a light to areas of bayesian machine learning.

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

Kalman Variational Auto-Encoder

Helper functions for brmsfit objects (DEPRECATED)

Deep universal probabilistic programming with Python and PyTorch

Counting people, dog and bicycle using SSD detection and tracking.

Infer.NET is a framework for running Bayesian inference in graphical models

Using Kalman Filter to Predict Corona Virus Spread

Lightweight Python library for adding real-time 2D object tracking to any detector.

Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar

Fast & scalable MCMC for all your exoplanet needs!

Estimating effective elastic thickness of the lithosphere

A resource list for causality in statistics, data science and physics

Noisy network measurement with stan

Modular Probabilistic Programming on MXNet

BLDC ESC firmware (GPLv3.0)

Python package for computing the Curie depth from the magnetic anomaly

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

BOPP: Bayesian Optimization for Probabilistic Programs

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

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

TAPAS - Translational Algorithms for Psychiatry-Advancing Science

Personal project to compare hierarchical linear regression in PyMC3 and PyStan, as presented at http://pydata.org/london2016/schedule/presentation/30/ video: https://www.youtube.com/watch?v=Jb9eklfbDyg

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan