neural
Neural Nets in native Haskell (by brunjlar)
htvm
Haskell experiments involving TVM AI framework (by grwlf)
neural | htvm | |
---|---|---|
- | - | |
122 | 21 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | about 5 years ago | |
Haskell | Haskell | |
MIT License | GNU General Public License v3.0 only |
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.
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.
htvm
Posts with mentions or reviews of htvm.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning htvm yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
When comparing neural and htvm you can also consider the following projects:
fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
rc - Reservoir Computing, an RNN flavor
HLearn-algebra - Homomorphic machine learning
haskell-ml - Various examples of machine learning, in Haskell.
genetics - A Genetic Algorithm library in Haskell
order-statistics - L-estimators and order statistics