Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Move data to and from the clipboard in Julia

Imputation methods for missing data in julia

🧬High-performance genetics- and genomics-related data visualization using Makie.jl

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Julia framework for energy system models with a focus on multi-period capacity expansion

A collection of tools for chemometrics and machine learning written in Julia.

Robot Motion Estimate: Tools, Variables, and Factors for SLAM in robotics; also see Caesar.jl.

Atomic graph models for molecules and crystals in Julia

Automated Bayesian model discovery for time series data

Nonlinear optical pulse propagator

A useful tool on the road to reality. Read the documentation on the website.

Analysis of complex surveys

Julia library for standardizing financial data retrieval and storage from multiple APIs.

Julia package towards classical molecular modeling of nanoporous materials

Logic Circuits from the Juice library

Neuroimaging in Julia

A Comprehensive Julia implementation of the Vortex Lattice Method

Population Genetics in Julia

Julia package containing utilities intended for Time Series analysis.

Reimplementation of Raphaelvallat's Pingouin in Julia

Serde is a Julia library for (de)serializing data to/from various formats. The library offers a simple and concise API for defining custom (de)serialization behavior for user-defined types

Compressed storage for SNP data

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Julia package for data manipulation and analysis

Julia package for benchmarking a system

Create ensembles of machine learning models from scikit-learn, caret, and julia

A small collection of semi-automatic performance checking tools

Interface package for featurizing atomic structures

Julia interface to climate models + tracked workflow framework

Utility package for Sienna's simulation infrastructure

A unified framework for skeletonization, morphological analysis, and connectivity analysis.

Examples of how to use the modeling capabilities developed under the Scalable Integrated Infrastructure Planning Initiative at NREL.

Comparing performance and results of mcmc options using Julia

High Quality Geophysical Analysis provides a general purpose Bayesian and deterministic inversion framework for various geophysical methods and spatially distributed / timeseries data

Sole.jl – Long live transparent modeling!

Fast 1D LTE stellar spectral synthesis

Clima's Land Model