A Julia wrapper for TensorFlow

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Plotting for Julia based on matplotlib.pyplot

Automatic Differentiation Library for Computational and Mathematical Engineering

Julia interface to SymPy via PyCall

Julia interface to ROS (Robot Operating System)

A Julia front-end to Python's Pandas package.

Language for symbolic mathematics

A meta package for data science in julia

A Julia framework for invertible neural networks

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Perceptually Uniform Colour Maps for Julia

Climate science package for Julia

Julia Devito inversion.

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

Software and high-level API for offline, low latency and secure translation of human speech to computer commands or text on Linux, MacOS and Windows

Stochastic Optimization, Learning, Uncertainty and Sampling

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

A simple hypergraphs package for the Julia programming language

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

Global glacier model using Universal Differential Equations for climate-glacier interactions

Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.

A General Approach to Seismic Inversion Problems using Automatic Differentiation

Automated Bayesian model discovery for time series data

ExcelReaders is a package that provides functionality to read Excel files.

Nonlinear optical pulse propagator

Differentiate python calls from Julia

C-code generation and an interface between ControlSystems.jl and SymPy.jl

Google Earth Engine in Julia

Julia wrapper for Seaborn

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Julia library for deep reinforcement learning

FileIO.jl integration for Excel files

Computational graph representation of multiloop Feynman diagrams

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

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

Neural Network Approach for Data-Driven Constitutive Modeling

Photonic crystals in Julia 🦚

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