statistical-learning
Statistical learning models for the Common Lisp (by sirherrbatka)
vellum-plot
By sirherrbatka
Our great sponsors
| statistical-learning | vellum-plot | |
|---|---|---|
| 1 | 1 | |
| 11 | 1 | |
| - | - | |
| 7.3 | 0.0 | |
| about 2 months ago | almost 2 years ago | |
| Common Lisp | Common Lisp | |
| 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.
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
vellum-plot
Posts with mentions or reviews of vellum-plot.
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 statistical-learning and vellum-plot you can also consider the following projects:
qvm - The high-performance and featureful Quil simulator.
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
numcl-benchmarks - benchmarks against numpy, julia
neanderthal - Fast Clojure Matrix Library
clusters - Variety of clustering tools for the Common Lisp
hissp - It's Python with a Lissp.
vellum - Data Frames for Common Lisp
burgled-batteries - A bridge between Python and Lisp (FFI bindings, etc.)
quilc - The optimizing Quil compiler.
statistical-learning vs qvm
vellum-plot vs dtype-next
statistical-learning vs numcl-benchmarks
vellum-plot vs qvm
statistical-learning vs neanderthal
vellum-plot vs clusters
statistical-learning vs hissp
vellum-plot vs numcl-benchmarks
statistical-learning vs vellum
vellum-plot vs burgled-batteries
statistical-learning vs clusters
vellum-plot vs quilc