Repository of best practices for deep learning in Julia, inspired by fastai

Julia package for function approximation

Probabilistic programming via source rewriting

"Distributions" that might not add to one.

A flexible neural net training library inspired by fast.ai

WIP successor to Soss.jl

A Julia package for representing infinite-dimensional arrays

Julia package for solving singular integral equations

Geometric Numerical Integration in Julia

Structure Preserving Machine Learning Models in Julia

A Julia package for classical orthogonal polynomials and expansions

A Julia repository for linear algebra with infinite matrices

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

Common hyperparameter scheduling for ML

A package for representing quasi arrays with continuous indices

A Julia package for working with spherical harmonic expansions

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Provide all functions needed to work with augmented likelihoods (conditionally conjugate with Gaussians)

A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.

Supports approximating functions and solving differential equations on various higher dimensional domains such as disks and triangles

Core interface to design, solve, and simulate trajectory games.

A neural network accelerated solver for mixed-strategy solutions of trajectory games. Do you even lift?

Julia library for function approximation with compact basis functions

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SossMLJ makes it easy to build MLJ machines from user-defined models from the Soss probabilistic programming language

N-Point Correlation Functions in Julia

Backward-filtering forward-guiding with StochasticDiffEq.jl

Core functionality of ApproxFun

Beyond the scale

Calculate oscillatory integrals using Julia

Julia package for transfer operator spectral methods

Quantum states for quantum optics.

Plot Wigner function and density matrix generated by QuantumStateBase.jl

Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)

Distributions for continuous variables

Support for Fourier-based spaces in ApproxFun

A Julia repository for semiclassical orthogonal polynomials

A package for representing orthogonal polynomials as quasi arrays

Numerical Methods for Vlasov-Poisson and Vlasov-Maxwell Systems

A Julia package for piecewise spectral methods such as p-FEM