A Python library for training machine learning models for applications in electron microscopy.
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
Project description
Electron Microscopy Machine Learning (EMicroML)
emicroml is a Python library for training machine learning models for
applications in electron microscopy.
Visit the emicroml website for a web
version of the installation instructions, the reference guide, and the examples
archive.
Project details
Verified details
These details have been verified by PyPIProject links
GitHub Statistics
Maintainers
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 emicroml-0.0.2.tar.gz.
File metadata
- Download URL: emicroml-0.0.2.tar.gz
- Upload date:
- Size: 2.5 MB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4c3702df283c772ec4aae817b197ff026397502bc39c351947fd020adff515ed
|
|
| MD5 |
9274ee643c9785b77ba9504875e11176
|
|
| BLAKE2b-256 |
9a1ad29f0e9e1e72c762188344b3b557193ed8ee04259248a8ba810cc595347f
|
Provenance
The following attestation bundles were made for emicroml-0.0.2.tar.gz:
Publisher:
publish_release_to_pypi.yml on mrfitzpa/emicroml
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
emicroml-0.0.2.tar.gz -
Subject digest:
4c3702df283c772ec4aae817b197ff026397502bc39c351947fd020adff515ed - Sigstore transparency entry: 500620291
- Sigstore integration time:
-
Permalink:
mrfitzpa/emicroml@78f0732f88bdee79c647ba86a9cda3e239ef1006 -
Branch / Tag:
refs/tags/v0.0.2 - Owner: https://github.com/mrfitzpa
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish_release_to_pypi.yml@78f0732f88bdee79c647ba86a9cda3e239ef1006 -
Trigger Event:
release
-
Statement type:
File details
Details for the file emicroml-0.0.2-py3-none-any.whl.
File metadata
- Download URL: emicroml-0.0.2-py3-none-any.whl
- Upload date:
- Size: 128.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8a184783da6700e39f29639ce3951d3f1d00e8ddf93bec857e619144df955661
|
|
| MD5 |
7571bce13ee45d81f34050444f4fa1cd
|
|
| BLAKE2b-256 |
28bafe44d1eed22281b436dfac91e9000b30289133f6b8e2ace3b1e4cb30fa8d
|
Provenance
The following attestation bundles were made for emicroml-0.0.2-py3-none-any.whl:
Publisher:
publish_release_to_pypi.yml on mrfitzpa/emicroml
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
emicroml-0.0.2-py3-none-any.whl -
Subject digest:
8a184783da6700e39f29639ce3951d3f1d00e8ddf93bec857e619144df955661 - Sigstore transparency entry: 500620322
- Sigstore integration time:
-
Permalink:
mrfitzpa/emicroml@78f0732f88bdee79c647ba86a9cda3e239ef1006 -
Branch / Tag:
refs/tags/v0.0.2 - Owner: https://github.com/mrfitzpa
-
Access:
public
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish_release_to_pypi.yml@78f0732f88bdee79c647ba86a9cda3e239ef1006 -
Trigger Event:
release
-
Statement type:
