https://github.com/broadinstitute/keras-resnet
Keras package for deep residual networks
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
1 of 9 committers (11.1%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (8.5%) to scientific vocabulary
Keywords
deep-learning
keras
tensorflow
theano
Keywords from Contributors
deep-neural-networks
distributed
Last synced: 10 months ago
·
JSON representation
Repository
Keras package for deep residual networks
Basic Info
Statistics
- Stars: 302
- Watchers: 9
- Forks: 124
- Open Issues: 32
- Releases: 0
Topics
deep-learning
keras
tensorflow
theano
Created about 9 years ago
· Last pushed over 3 years ago
Metadata Files
Readme
License
README.rst
Keras-ResNet
============
.. image:: https://travis-ci.org/broadinstitute/keras-resnet.svg?branch=master
:target: https://travis-ci.org/broadinstitute/keras-resnet
Keras-ResNet is **the** Keras package for deep residual networks. It's fast *and* flexible.
A tantalizing preview of Keras-ResNet simplicity:
.. code-block:: python
>>> import keras
>>> import keras_resnet.models
>>> shape, classes = (32, 32, 3), 10
>>> x = keras.layers.Input(shape)
>>> model = keras_resnet.models.ResNet50(x, classes=classes)
>>> model.compile("adam", "categorical_crossentropy", ["accuracy"])
>>> (training_x, training_y), (_, _) = keras.datasets.cifar10.load_data()
>>> training_y = keras.utils.np_utils.to_categorical(training_y)
>>> model.fit(training_x, training_y)
Installation
------------
Installation couldn’t be easier:
.. code-block:: bash
$ pip install keras-resnet
Contributing
------------
#. Check for open issues or open a fresh issue to start a discussion around a feature idea or a bug. There is a `Contributor Friendly`_ tag for issues that should be ideal for people who are not very familiar with the codebase yet.
#. Fork `the repository`_ on GitHub to start making your changes to the **master** branch (or branch off of it).
#. Write a test which shows that the bug was fixed or that the feature works as expected.
#. Send a pull request and bug the maintainer until it gets merged and published. :) Make sure to add yourself to AUTHORS_.
.. _`the repository`: http://github.com/0x00b1/keras-resnet
.. _AUTHORS: https://github.com/0x00b1/keras-resnet/blob/master/AUTHORS.rst
.. _Contributor Friendly: https://github.com/0x00b1/keras-resnet/issues?direction=desc&labels=Contributor+Friendly&page=1&sort=updated&state=open
Owner
- Name: Broad Institute
- Login: broadinstitute
- Kind: organization
- Location: Cambridge, MA
- Website: http://www.broadinstitute.org/
- Twitter: broadinstitute
- Repositories: 1,083
- Profile: https://github.com/broadinstitute
Broad Institute of MIT and Harvard
GitHub Events
Total
- Watch event: 2
Last Year
- Watch event: 2
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Allen Goodman | a****n@i****m | 103 |
| Hans Gaiser | h****1@g****m | 7 |
| mbroisinBI | 4****I | 4 |
| Sang Han | j****y | 1 |
| JihongJu | J****u | 1 |
| Claire McQuin | m****n | 1 |
| Bohumír Zámečník | b****k@g****m | 1 |
| Björn Barz | C****r | 1 |
| Holger Hennig | h****h@b****g | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 41
- Total pull requests: 33
- Average time to close issues: about 1 month
- Average time to close pull requests: 7 months
- Total issue authors: 28
- Total pull request authors: 15
- Average comments per issue: 1.39
- Average comments per pull request: 1.12
- Merged pull requests: 21
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- 0x00b1 (9)
- yfarjoun (3)
- mcquin (2)
- system123 (2)
- hgaiser (2)
- jccaicedo (1)
- aifollower (1)
- catabia (1)
- oxrider (1)
- adavaria (1)
- santient (1)
- JihongJu (1)
- furqan4545 (1)
- andresdigiovanni (1)
- cbodenst (1)
Pull Request Authors
- hgaiser (9)
- 0x00b1 (6)
- mbroisinBI (4)
- henrykironde (2)
- ttopac (2)
- schelv (1)
- cbodenst (1)
- jjangsangy (1)
- ulziibay (1)
- bzamecnik (1)
- holgerhennig (1)
- mcquin (1)
- Callidior (1)
- jhung0 (1)
- JihongJu (1)
Top Labels
Issue Labels
enhancement (9)
help wanted (8)
bug (1)
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 2,505 last-month
- Total docker downloads: 2,067
-
Total dependent packages: 6
(may contain duplicates) -
Total dependent repositories: 248
(may contain duplicates) - Total versions: 9
- Total maintainers: 1
pypi.org: keras-resnet
- Homepage: https://github.com/broadinstitute/keras-resnet
- Documentation: https://keras-resnet.readthedocs.io/
- License: MIT
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Latest release: 0.2.0
published about 7 years ago
Rankings
Dependent repos count: 1.0%
Docker downloads count: 1.5%
Dependent packages count: 1.9%
Average: 2.6%
Downloads: 3.5%
Stargazers count: 3.7%
Forks count: 4.2%
Maintainers (1)
Last synced:
11 months ago
conda-forge.org: keras-resnet
Keras-ResNet is the Keras package for deep residual networks. It's fast and flexible.
- Homepage: https://github.com/broadinstitute/keras-resnet
- License: BSD-3-Clause
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Latest release: 0.2.0
published about 6 years ago
Rankings
Forks count: 14.6%
Dependent packages count: 19.5%
Stargazers count: 20.3%
Average: 22.1%
Dependent repos count: 34.0%
Last synced:
11 months ago
Dependencies
setup.py
pypi
- keras >=2.2.4