PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features (by atif-hassan)
humble-benchmarks
Benchmarking programming languages using statistics and machine learning algorithms (by rillki)
| PyImpetus | humble-benchmarks | |
|---|---|---|
| 1 | 1 | |
| 116 | 4 | |
| - | - | |
| 1.4 | 0.0 | |
| about 1 year ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT 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.
PyImpetus
Posts with mentions or reviews of PyImpetus.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[P] PyImpetus - A Markov Blanket based new SOTA feature selection algorithm for python
Link to the GitHub repo
humble-benchmarks
Posts with mentions or reviews of humble-benchmarks.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing PyImpetus and humble-benchmarks you can also consider the following projects:
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
mljar-examples - Examples how MLJAR can be used
machine_learning_basics - Plain python implementations of basic machine learning algorithms
SciTS - A tool to benchmark Time-series databases
hdbscan - A high performance implementation of HDBSCAN clustering.
60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML
feature-engineering-tutorials - Data Science Feature Engineering and Selection Tutorials
python-machine-learning-book - The "Python Machine Learning (1st edition)" book code repository and info resource
PyImpetus vs homemade-machine-learning
humble-benchmarks vs mljar-examples
PyImpetus vs machine_learning_basics
humble-benchmarks vs SciTS
PyImpetus vs hdbscan
humble-benchmarks vs 60-Days-of-Data-Science-and-ML
PyImpetus vs feature-engineering-tutorials
humble-benchmarks vs homemade-machine-learning
humble-benchmarks vs machine_learning_basics
humble-benchmarks vs python-machine-learning-book