Bias-corrected participation ratio estimator for measuring dimensionality of neural representations
Project description
The author of this package has not provided a project description
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dimensionality-0.1.1.tar.gz
(38.3 MB
view details)
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 dimensionality-0.1.1.tar.gz.
File metadata
- Download URL: dimensionality-0.1.1.tar.gz
- Upload date:
- Size: 38.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7eb7b1310406682c4f31fc9795f908b902b467f92c978709c1eea0c11b307816
|
|
| MD5 |
15cfb422b8cb8f5a4dc189287e7cf891
|
|
| BLAKE2b-256 |
f1b351a074a422e0d9de14623a88c9fddfed45d558bdf5ad94e03b99537be945
|
File details
Details for the file dimensionality-0.1.1-py3-none-any.whl.
File metadata
- Download URL: dimensionality-0.1.1-py3-none-any.whl
- Upload date:
- Size: 13.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.15
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
71bb7656df8bf97a3dc11ac4a120fd591683cb51467cd7ab7e7b68ab66cfe2c6
|
|
| MD5 |
34c4c5a8f74d357d1cebcc633fa8dc4e
|
|
| BLAKE2b-256 |
ee608ec6aebc3b931ed450a277de849e4f3ba58632ba1600177a9d318ab7146c
|