Skip to main content

Stage-based scientific workflows for miscellaneous deep learning experiments

Project description

ReadTheDocs

Flowws Modules for Machine Learning Experiments with Keras

flowws-keras-experimental is a set of flowws modules to train machine learning models using tensorflow and keras. It contains basic modules to perform common tasks such as loading data and specifying model architectures.

Installation

Install flowws-keras-experimental from PyPI:

pip install flowws-keras-experimental

Alternatively, install from source:

pip install git+https://github.com/klarh/flowws-keras-experimental.git#egg=flowws-keras-experimental

API Documentation

Browse more detailed documentation online or build the sphinx documentation from source:

git clone https://github.com/klarh/flowws-keras-experimental
cd flowws-keras-experimental/doc
pip install -r requirements.txt
make html

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

flowws-keras-experimental-0.3.0.tar.gz (29.4 kB view details)

Uploaded Source

Built Distribution

flowws_keras_experimental-0.3.0-py3-none-any.whl (38.8 kB view details)

Uploaded Python 3

File details

Details for the file flowws-keras-experimental-0.3.0.tar.gz.

File metadata

File hashes

Hashes for flowws-keras-experimental-0.3.0.tar.gz
Algorithm Hash digest
SHA256 20128a698045924b3e7fd67c3b8ec16321de081c29ad0df0e42930d9987649d2
MD5 589ac45f540e29c73f4ae2880a04e119
BLAKE2b-256 a56771b2e01a1e66643fc5106467fca89fdcb62e703855874faa533893e8d0df

See more details on using hashes here.

File details

Details for the file flowws_keras_experimental-0.3.0-py3-none-any.whl.

File metadata

File hashes

Hashes for flowws_keras_experimental-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6eb3d512e85f35035104485cbd7ccec85295f43450b71b65c21518fe5c875d0d
MD5 182fd26b69b81275e7c25bd054f16c52
BLAKE2b-256 bb65c7ba96cfe07fff1c89120e175f427eb0c89d177499fb104cb3d2688a9931

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page