calls Flux.jl “Choose for Julia projects wanting a differentiable programming DL framework.”
Deep Learning for humans
Flux.jl is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named Flux.jl among their alternatives. The relationship is not symmetric — how Flux.jl rates them is a separate judgement, made when Flux.jl is analysed in its own right.
calls Flux.jl “Choose for Julia projects wanting a differentiable programming DL framework.”
Deep Learning for humans
calls Flux.jl “when you work in Julia and want a differentiable programming approach.”
A WebGL accelerated JavaScript library for training and deploying ML models.
calls Flux.jl “Choose when you work in Julia and want a flexible DL framework integrated with the language.”
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
calls Flux.jl “choose when you work in Julia and want a differentiable programming ecosystem”
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
calls Flux.jl “When you prefer Julia's numerical ecosystem and want differentiable programming in Julia.”
CoreNet: A library for training deep neural networks