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Boltz.jl ⚡ Docs

Pre-built Deep Learning Models in Julia

Accelerate ⚡ your ML research using pre-built Deep Learning Models with Lux

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Powered by Lux.jl

Boltz.jl is built on top of Lux.jl, a pure Julia Deep Learning Framework designed for Scientific Machine Learning.

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Pre-built Models

Boltz.jl provides pre-built models for common deep learning tasks, such as image classification.

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SciML Primitives

Common deep learning primitives needed for scientific machine learning.

How to Install Boltz.jl? ​

Its easy to install Boltz.jl. Since Boltz.jl is registered in the Julia General registry, you can simply run the following command in the Julia REPL:

julia
julia> using Pkg
julia> Pkg.add("Boltz")

If you want to use the latest unreleased version of Boltz.jl, you can run the following command: (in most cases the released version will be same as the version on github)

julia
julia> using Pkg
julia> Pkg.add(url="https://github.com/LuxDL/Boltz.jl")

Want GPU Support? ​

Install the following package(s):

julia
using Pkg
Pkg.add("LuxCUDA")
# or
Pkg.add(["CUDA", "cuDNN"])
julia
using Pkg
Pkg.add("AMDGPU")
julia
using Pkg
Pkg.add("Metal")
julia
using Pkg
Pkg.add("oneAPI")