clusters
Variety of clustering tools for the Common Lisp (by sirherrbatka)
statistical-learning
Statistical learning models for the Common Lisp (by sirherrbatka)
| clusters | statistical-learning | |
|---|---|---|
| 1 | 1 | |
| 5 | 11 | |
| - | - | |
| 0.0 | 7.3 | |
| about 2 years ago | 2 months ago | |
| Common Lisp | Common Lisp | |
| BSD 2-clause "Simplified" 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.
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.
clusters
Posts with mentions or reviews of clusters.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
-
Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
statistical-learning
Posts with mentions or reviews of statistical-learning.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-16.
-
Anybody using Common Lisp or clojure for data science
Yeah, I use CL for data science, despite lack of suitable tools. I even ended up writing my own: https://github.com/sirherrbatka/clusters https://github.com/sirherrbatka/vellum https://github.com/sirherrbatka/vellum-plot https://github.com/sirherrbatka/statistical-learning
What are some alternatives?
When comparing clusters and statistical-learning you can also consider the following projects:
vellum-plot
qvm - The high-performance and featureful Quil simulator.
numcl-benchmarks - benchmarks against numpy, julia
quilc - The optimizing Quil compiler.
neanderthal - Fast Clojure Matrix Library
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
hissp - It's Python with a Lissp.
vellum - Data Frames for Common Lisp
clusters vs vellum-plot
statistical-learning vs qvm
clusters vs qvm
statistical-learning vs numcl-benchmarks
clusters vs quilc
statistical-learning vs neanderthal
clusters vs dtype-next
statistical-learning vs vellum-plot
clusters vs neanderthal
statistical-learning vs hissp
clusters vs numcl-benchmarks
statistical-learning vs vellum