Past Meetup

GPU Computing and Machine Learning with Hasktorch

This Meetup is past

39 people went

Location image of event venue

Details

Abstract

The Hasktorch library makes available hundreds of mathematical operations including linear algebra, GPU computation, non-linear neural network transformations and their gradients, high level lapack/blas interfaces, and probability distributions/sampling tools. These comprehensive operations provide a foundation for exploring machine learning systems with statically typed functional programming. It builds on top of C libraries that have been in development for over a decade and are the backend for the PyTorch library.

Modern machine learning frameworks generally target imperative, weakly-typed languages such as Python, Lua, and R, and inherit the design of their host language. Hasktorch's higher-level APIs are designed with several basic principles that, while well-known in functional programming, are not commonly incorporated together with machine learning. We believe that giving developers access to simple Haskell bindings can help create a new wave of more expressive and safer machine learning models.

Bio

Sam Stites is a Haskell engineer and machine learning researcher at Sentenai.

Logistics

The meetup will be at the Thoughtbot location in downtown Boston. Food should be available near the 6:30PM start time, provided by Thoughtbot.