DiffEqFlux.jl VS 18S096SciML

Compare DiffEqFlux.jl vs 18S096SciML and see what are their differences.

DiffEqFlux.jl

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods (by SciML)
neural-ode neural-sde neural-pde neural-dde neural-differential-equations stiff-ode ordinary-differential-equations stochastic-differential-equations delay-differential-equations partial-differential-equations neural-networks Differentialequations differential-equations scientific-ml scientific-ai neural-jump-diffusions neural-sdes scientific-machine-learning pinn physics-informed-learning
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docs.sciml.ai
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18S096SciML

18.S096 - Applications of Scientific Machine Learning (by mitmath)
scientific-machine-learning differential-equations neural-networks neural-ode partial-differential-equations Sciml lecture-notes
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DiffEqFlux.jl 18S096SciML
2 1
837 303
0.7% 1.0%
8.9 2.7
13 days ago about 2 years ago
Julia HTML
MIT License -
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DiffEqFlux.jl

Posts with mentions or reviews of DiffEqFlux.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-26.

18S096SciML

Posts with mentions or reviews of 18S096SciML. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing DiffEqFlux.jl and 18S096SciML you can also consider the following projects:

Enzyme - High-performance automatic differentiation of LLVM and MLIR.

DiffEqBase.jl - The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems

functorch - functorch is JAX-like composable function transforms for PyTorch.

SciMLBook - Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

cs229-2019-summer - All notes and materials for the CS229: Machine Learning course by Stanford University

Flux.jl - Relax! Flux is the ML library that doesn't make you tensor

DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)

SciMLBenchmarks.jl - Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

DiffEqFlux.jl vs Enzyme 18S096SciML vs DiffEqBase.jl DiffEqFlux.jl vs functorch 18S096SciML vs SciMLBook DiffEqFlux.jl vs SciMLBook 18S096SciML vs cs229-2019-summer DiffEqFlux.jl vs Flux.jl 18S096SciML vs DiffEqOperators.jl 18S096SciML vs SciMLBenchmarks.jl