catsim
Computerized Adaptive Testing Simulator (by douglasrizzo)
deepirtools
Deep learning-based estimation and inference for item response theory models. (by cjurban)
| catsim | deepirtools | |
|---|---|---|
| 1 | 1 | |
| 127 | 19 | |
| -0.8% | - | |
| 5.4 | 2.1 | |
| 11 months ago | 5 months ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | GNU General Public License v3.0 only |
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.
catsim
Posts with mentions or reviews of catsim.
We have used some of these posts to build our list of alternatives
and similar projects.
-
for my Psychology class I have to learn python and make an adaptive test in python, I already know C#(in context of Unity3d) can I learn Python and make the test in a week time or is that not feasible?
https://github.com/douglasrizzo/catsim could be a fun place to start.
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).
What are some alternatives?
When comparing catsim and deepirtools you can also consider the following projects:
qmsolve - ⚛️ A module for solving and visualizing the Schrödinger equation.
prince - :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
vedo - A python module for scientific analysis of 3D data based on VTK and Numpy
faceswap - Deepfakes Software For All
openff-evaluator - A physical property evaluation toolkit from the Open Forcefield Consortium.
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.