ProgLearn
ProgLearn (Progressive Learning) is a package for exploring and using progressive learning algorithms developed by the neurodata group.
- Installation Guide: http://proglearn.neurodata.io/install.html
- Documentation: http://proglearn.neurodata.io
- Tutorials: http://proglearn.neurodata.io/tutorials.html
- Source Code: http://proglearn.neurodata.io/reference/index.html
- Issues: https://github.com/neurodata/proglearn/issues
- Contribution Guide: http://proglearn.neurodata.io/contributing.html
Some system/package requirements:
- Python: 3.6+
- OS: All major platforms (Linux, macOS, Windows)
- Dependencies: tensorflow, scikit-learn, scipy, numpy, joblib
3 maintainers
Release files for proglearn 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| proglearn-0.0.7.tar.gz | 21.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| proglearn-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 48.2 kB
Release files / proglearn-0.0.7.tar.gz
| Download URL | proglearn-0.0.7.tar.gz |
|---|---|
| Size | 21.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9354f300ccb1e7b9c5d771e553edb4c6866a94dbfb4220ef1227da11235b16ed
|
|
BLAKE2b-256 checksum How to use checksums |
06bd8dd7ceea03602a50329657af661b8af4806bf78e48c5cc908c4e9b52e3c8
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5
|
Release files / proglearn-0.0.7-py3-none-any.whl
| Download URL | proglearn-0.0.7-py3-none-any.whl |
|---|---|
| Size | 27.2 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
c427e050a9d177339077679497ebcbe26e65b870b36877251b25ea562527e132
|
|
BLAKE2b-256 checksum How to use checksums |
afa3219ae8111f505bf12b98f76cd6ee48ef88c73a6cdeb49bcbe0498d95e98a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.55.1 CPython/3.8.5
|
