[D] How important is Numerical Analysis for machine learning?

• SciMLBenchmarks.jl

  10 290 9.7 MATLAB

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

  

Star-P was sold off to Microsoft IIRC. Some of the people who had interned there then joined Alan's lab. They created the Julia programming language where now parallelism and performance is directly built into the language. I created the differential equation solver libraries for the language which then used all of these properties to benchmark very well, and that's how I subsequently started working with Alan. Then we took this to build systems that combine machine learning and numerical solvers to accelerate and automatically discover physical systems, and the resulting SciML organization and the scientific machine learning research, along with compiler-level automatic differentiation and parallelism, is where all of that is today with the Julia Lab.

• julia

  350 44,510 10.0 Julia

  The Julia Programming Language

  

Star-P was sold off to Microsoft IIRC. Some of the people who had interned there then joined Alan's lab. They created the Julia programming language where now parallelism and performance is directly built into the language. I created the differential equation solver libraries for the language which then used all of these properties to benchmark very well, and that's how I subsequently started working with Alan. Then we took this to build systems that combine machine learning and numerical solvers to accelerate and automatically discover physical systems, and the resulting SciML organization and the scientific machine learning research, along with compiler-level automatic differentiation and parallelism, is where all of that is today with the Julia Lab.

• InfluxDB

  www.influxdata.com sponsored

  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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