[HN Gopher] An Introduction to Neural Ordinary Differential Equa...
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       An Introduction to Neural Ordinary Differential Equations [pdf]
        
       Author : gballan
       Score  : 62 points
       Date   : 2025-01-10 00:31 UTC (1 days ago)
        
 (HTM) web link (diposit.ub.edu)
 (TXT) w3m dump (diposit.ub.edu)
        
       | marmaduke wrote:
       | looks like a nice overview. i've implemented neural ODEs in Jax
       | for low dimensional problems and it works well, but I keep
       | looking for a good, fast, CPU-first implementation that is good
       | for models that fit in cache and don't require a GPU or big
       | Torch/TF machinery.
        
         | sitkack wrote:
         | Did you use https://github.com/patrick-kidger/diffrax ?
         | 
         | JAX Talk: Diffrax https://www.youtube.com/watch?v=Jy5Jw8hNiAQ
        
           | marmaduke wrote:
           | no, wrote it by hand for use with my own Heun implementation,
           | since it's for use within stochastic delayed systems.
           | 
           | jax is fun but as effective as i'd like for CPU
        
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       (page generated 2025-01-11 23:00 UTC)