repsim
Measures of Representational Similarity Across Models
Provides a collection of methods for quantifying representational similarity between learned features or multivariate data. The package offers an efficient 'C++' backend, designed for applications in machine learning, computational neuroscience, and multivariate statistics. See Klabunde et al. (2025) <doi:10.1145/3728458> for a comprehensive overview of the topic.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | repsim_0.1.0.tar.gz |
160.4 KiB |
0.1.0 |
rolling linux/noble R-4.5 | repsim_0.1.0.tar.gz |
168.0 KiB |
0.1.0 |
rolling source/ R- | repsim_0.1.0.tar.gz |
38.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | repsim_0.1.0.tar.gz |
160.4 KiB |
0.1.0 |
latest linux/noble R-4.5 | repsim_0.1.0.tar.gz |
168.0 KiB |
0.1.0 |
latest source/ R- | repsim_0.1.0.tar.gz |
38.5 KiB |
0.1.0 |
2026-04-26 source/ R- | repsim_0.1.0.tar.gz |
38.5 KiB |
0.1.0 |
2026-04-23 source/ R- | repsim_0.1.0.tar.gz |
38.5 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | repsim_0.1.0.zip |
480.4 KiB |