Measures of representational similarity across models
Project description
repsim (Python)
Representational Similarity Metrics for Machine Learning and Neuroscience
repsim provides efficient implementations of representational similarity measures using a C++17 backend via pybind11 and Eigen, whose vendored version is included under third_party/eigen for reproducible builds. It parallels the R package repsim, ensuring consistency across environments.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file repsim-0.1.5.tar.gz.
File metadata
- Download URL: repsim-0.1.5.tar.gz
- Upload date:
- Size: 1.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b902d61e540fc1c3d97027c00a335af8c7cd1aba622a3241009e26b00ee99f92
|
|
| MD5 |
60e547cf61940c7f0a71d5ea548b4193
|
|
| BLAKE2b-256 |
60931c7e0a34607daa008721234f951962e55941868f9dbab939aff1910e62a5
|
File details
Details for the file repsim-0.1.5-cp312-cp312-macosx_15_0_arm64.whl.
File metadata
- Download URL: repsim-0.1.5-cp312-cp312-macosx_15_0_arm64.whl
- Upload date:
- Size: 146.8 kB
- Tags: CPython 3.12, macOS 15.0+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ab9b012b83a497472dd11836ffa4674828c399e7d95fbf569579d38253588625
|
|
| MD5 |
d4fdf666117eb101ee067854e30c8dce
|
|
| BLAKE2b-256 |
8a4a4d45fc89f56171c512b3c3991e4e762deba202455caa49a38d77d79fee4e
|
