sgd VS dtw

Compare sgd vs dtw and see what are their differences.

sgd

Stochastic gradient descent Haskell library (by kawu)

dtw

Implementation of Dynamic Time Warping in Haskell (by fhaust)
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sgd dtw
- -
12 18
- -
0.0 0.0
over 4 years ago over 1 year ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

sgd

Posts with mentions or reviews of sgd. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning sgd yet.
Tracking mentions began in Dec 2020.

dtw

Posts with mentions or reviews of dtw. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning dtw yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing sgd and dtw you can also consider the following projects:

edit-distance - Edit distance library for Haskell

dgim - :chart_with_upwards_trend: Implementation of the DGIM algorithm in Haskell.

HMM - hidden markov models in haskell

nonlinear-optimization-ad - Several Haskell packages for numerical optimizations.

cmaes - CMA-ES wrapper in Haskell

graph-generators - A Haskell library for creating random Data.Graph instances using several pop

incremental-sat-solver - Simple, Incremental SAT Solving as a Haskell Library

arithmoi - Number theory: primes, arithmetic functions, modular computations, special sequences

spacefill - Space-filling curves

lca - Improves the known complexity of online lowest common ancestor search to O(log h) persistently, and without preprocessing