Machine Learning

Who is this document for?

This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models . We assume basic knowledge of machine learning and deep learning concepts.

Our emphasis is on the process of hyperparameter tuning . We touch on other aspects of deep learning trainin... See more

STUMPY

STUMPY is a powerful and scalable Python library that efficiently computes something called the matrix profile, which is just an academic way of saying "for every (green) subsequence within your time series, automatically identify its corresponding nearest-neighbor (grey)":

What's important is that once you've computed your matrix profile (mi... See more

Deep learning at the speed of light.

Luminal is a deep learning library that uses composable compilers to achieve high performance.

use luminal::prelude::*;

// Setup graph and tensors

let mut cx = Graph::new();

let a = cx.tensor().set([[1.0], [2.0], [3.0]]);

let b = cx.tensor().set([[1.0, 2.0, 3.0, 4.0]]);

// Do math...

let mut c = a.matmul(b).retrieve();

... See more

PyFlux

PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array of inference options (frequentist and Bayesian) that can be applied to these models. By combining breadth of models with breadth of inference, PyFlux allows for a probabilistic approach to time serie... See more