This release is a pre-release and may not be stable for production use.
Keras Unsupervised
Keras framework based unsupervised learning framework
On Keras, to develop semi-supervised learning and unsupervised learning via backpropagation, Keras framework based unsupervised learning libraries are necessary. For this reason, we focus on developing EBM (Energy based model) unsupervised learning modules, and autoencoder and GAN (Generative Adversarial Networks) modules which are based on unsupervised learning via backpropagation, and Keras layers and Tensorflow and Tensorflow-probability backend interfaces for unsupervied learning, and relevant utils. As a symbolic computation backend, Tensorflow is only applied.
Tasks
- Plain RBM, DBN.
- GAN, Style-based GAN.
- AutoEncoder.
- First release, documentation.
- BM, DBM.
- Convolutional RBM, DBN.
- Second release, documentation.
Tasks status
1 maintainer
Metadata
1 maintainer
Release files for keras-unsupervised 1.1.3.dev1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| keras-unsupervised-1.1.3.dev1.tar.gz | 39.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| keras_unsupervised-1.1.3.dev1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 88.2 kB
Release files / keras-unsupervised-1.1.3.dev1.tar.gz
| Download URL | keras-unsupervised-1.1.3.dev1.tar.gz |
|---|---|
| Size | 39.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
5335876506a03f88682a933ae55fb9886dfc5299931ccb3557e582238a60319d
|
|
BLAKE2b-256 checksum How to use checksums |
e125922e4879e63fcc86e4e2bc263f6b65b0340744e38616ffa2b856726f65dd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6
|
Release files / keras_unsupervised-1.1.3.dev1-py3-none-any.whl
| Download URL | keras_unsupervised-1.1.3.dev1-py3-none-any.whl |
|---|---|
| Size | 49.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1e62778799d8716cb74701b567a86bc409ec9a3ee5c9ccae2ff11db419356027
|
|
BLAKE2b-256 checksum How to use checksums |
10552f2986f18952bc1e99fbc5bf901cfff3332b6cae889efef445a58e68759c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.4.2 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6
|
Security for keras-unsupervised 1.1.3.dev1
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
