[D] Adjoint Sensitivity Method vs Reverse Mode Autodiff

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
differential-equations Jax Deep Learning neural-differential-equations Machine Learning

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  • diffrax

    Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

    • Diffrax implements both DtO w/ checkpointing RecursiveCheckpointAdjoint and OtD BacksolveAdjoint, if you're curious to give both a try.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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