Google Cloud APIs for Julia

Julia library for deep reinforcement learning

Experimental framework for automatic differentiation finite-volume simulators

Datastructures and algorithms for working with genetic variation

Elastic Full Waveform Inversion for Subsurface Flow Problems Using Intrusive Automatic Differentiation

Data visualization in Julia

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

A fast and modular Julia implementation of the macroeconomic ABM of [Poledna et al., European Economic Review (2023)]

Neural Network Approach for Data-Driven Constitutive Modeling

DCE MRI analysis in Julia

The ideal tool for exploring global marine biogeochemical cycles.

Plotting functionality for the OpenStreetMapX.jl (Supports Plots.jl with GR or PythonPlot backend)

DEcomposition and Component Analysis of Exponential Signals (DECAES) - a Julia implementation of the UBC Myelin Water Imaging (MWI) toolbox for computing voxelwise T2-distributions of multi spin-echo MRI images.

A time domain electrical energy grid modeling and simulation tool with a focus on the control of power electronics converters

Julia's interface to the Firebase's REST API. Covers cloud firestore, cloud storage, firebase authenication, realtime database

Data science focused web framework

Neo4j Bolt driver for Julia supports Neo4j 3.0 and above

Vega-lite front end for the Julia profiler

Core types and interfaces for BioJulia packages

Fast, flexible zlib bindings.

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Deep Learning made easy and fast

Geothermal Cloud for Machine Learning

Neural network training, fast and easy.

An easy to use Flux implementation of the Kolmogorov Arnold Network. This is a Julia version of TorchKAN.

OpenMendel package for haplotyping and imputation

Iterative hard thresholding for l0 penalized regression

Functions plot PowerModels networks

RPM-md processing library

SeaPearl's pool of examples

Additional functionality for LightGraphs.jl

Genome-wide association studies (GWAS) for ordered categorical phenotypes

Julia utilities for handling VCF files

Performance evaluation tools for multiclass, multirater classification models

MeshGraphNets.jl is a software package for the Julia programming language that provides an implementation of the MeshGraphNets framework by Google DeepMind for simulating mesh-based physical systems via graph neural networks.

Scalable nonparametric clustering with unified marker gene selection for single-cell RNA-seq data

An Open-Source End-to-End Pipeline for Spiral Magnetic Resonance Image (MRI) Reconstruction in Julia

Package to simulate the thermal evolution of magmatic systems

Differentiable JUlia ICE model

Tools for the analysis and visualization of PowerModels data and results