|almost 8 years ago||6 months ago|
|BSD 3-clause "New" or "Revised" License||BSD 3-clause "New" or "Revised" License|
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.
We haven't tracked posts mentioning order-statistics yet.
Tracking mentions began in Dec 2020.
What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
14 projects | reddit.com/r/haskell | 4 Dec 2021
What are some alternatives?
tensorflow - Haskell bindings for TensorFlow
HLearn-algebra - Homomorphic machine learning
rc - Reservoir Computing, an RNN flavor
fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
neural - Neural Nets in native Haskell
htvm - Haskell experiments involving TVM AI framework
genetics - A Genetic Algorithm library in Haskell