deepirtools
Deep learning-based estimation and inference for item response theory models. (by cjurban)
prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA (by MaxHalford)
deepirtools | prince | |
---|---|---|
1 | 1 | |
20 | 1,342 | |
- | 1.3% | |
2.1 | 8.1 | |
6 months ago | about 1 month ago | |
Python | Python | |
GNU General Public License v3.0 only | 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.
deepirtools
Posts with mentions or reviews of deepirtools.
We have used some of these posts to build our list of alternatives
and similar projects.
-
[Q] PCA on an all-binary dataset?
Agreed, item response theory (IRT) would be a principled approach to use. I recently released a Python package called DeepIRTools that could be helpful here. It uses a deep learning approach to fit IRT models and provides a method for determining the latent dimensionality (i.e., how many "components" to retain). To get the dimension-reduced data (called embeddings in deep learning, factor scores in IRT, and components in PCA), you would just call model.scores(data).
prince
Posts with mentions or reviews of prince.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Categorical data in K-means
Well, my favourite thing about posting on Reddit is learning new things. https://github.com/MaxHalford/prince I looked up the Prince and I'll be reading up about FAMD shotly - thanks!
What are some alternatives?
When comparing deepirtools and prince you can also consider the following projects:
catsim - Computerized Adaptive Testing Simulator
impulse - Multichannel Analyser MCA for Gamma spectrometry
faceswap - Deepfakes Software For All
privacyIDEA - :closed_lock_with_key: multi factor authentication system (2FA, MFA, OTP Server)
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
mlcourse.ai - Open Machine Learning Course