176 Open source projects that are alternatives of or similar to cosmopower

Large suite of N-body simulations

Library of composable generative population models which serve as the modeling and inference backend of BayesDB.

Hierarchical, multi-label topic modelling with LDA

Material for a Bayesian statistics workshop

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Stanマニュアルの日本語への翻訳プロジェクト

Blang's software development kit

A code generator for grid-based PDE solving on CPUs and GPUs

Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

A Latent Dirichlet Allocation implementation in Python.

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

differentiable boltzmann code

Implementations of single and multi-ellipsoid nested sampling

Analysis kit for large-scale structure datasets, the massively parallel way

🎓 Uni-Bonn Decision Analysis graduate course, lectures and materials

A statistical toolbox for diffusion processes and stochastic differential equations. Named after the Brownian Bridge.

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Dirichlet Process K-means

A spherical convolutional neural network for cosmology (TFv1).

Statistical Rethinking course in pymc3

A common framework for implementing and using log densities for inference.

The 3D version of C2-Ray for multiple sources, hydrogen only

A collection of Methods and Models for various architectures of Artificial Neural Networks

Scalable sparse Bayesian learning for large CS recovery problems

Bayesian tools for fitting molecular mechanics torsion parameters to quantum chemical data.

A didactic Gaussian process package for researchers in Jax.

A comprehensive list of published machine learning applications to cosmology

Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.

Nested Sampling post-processing and plotting

Implementation of normalising flows and constrained random variable transformations

🐙 Generalized additive models in Python with a Bayesian twist

Bayesian inference for Gaussian mixture model with some novel algorithms

Simultaneous Localization and Mapping(SLAM) also gives you a way to track the location of a robot in the world in real-time and identify the locations of landmarks such as buildings, trees, rocks, and other world features.

R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

set of tools for continuum fitting, correlation function calculation, cosmological fits...

Parallel nested sampling

A web interface for exploring PyMC3 traces

Probabilistic Programming with Gaussian processes in Julia

Bayesian spatial analysis

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

Transformations to contrained variables from ℝⁿ.

Natural Gradient, Variational Inference

COsmological N-body CodE in PyThon

A python package for creating mock maps of astrophysical signals from a halo catalog

Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Deodorant: Solving the problems of Bayesian Optimization

PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

The Trendiness of Trends

Single-cell copy number calling and event history reconstruction.

Data-driven Network-based Bayesian Inference of Drivers

Tree Approximate Message Passing

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.

Material for a workshop on Bayesian stats with R

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Generation of Synthetic Populations Library

Tools to create blend catalogs, produce training samples and implement blending metrics

Infer the gender of an individual based on their name.

Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead

Multi-core BUGS for fast Bayesian inference of large hierarchical models