neural VS order-statistics

Compare neural vs order-statistics and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
neural order-statistics
- -
122 6
- -
0.0 0.0
over 3 years ago over 9 years ago
Haskell Haskell
MIT License BSD 3-clause "New" or "Revised" 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.

neural

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

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

order-statistics

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

We haven't tracked posts mentioning order-statistics yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing neural and order-statistics you can also consider the following projects:

fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).

HLearn-algebra - Homomorphic machine learning

haskell-ml - Various examples of machine learning, in Haskell.

rc - Reservoir Computing, an RNN flavor

genetics - A Genetic Algorithm library in Haskell

htvm - Haskell experiments involving TVM AI framework

tensorflow - Haskell bindings for TensorFlow