https://github.com/anselmoo/keras-tuner-extensionpack

An extension pack for keras-tuner for providing additional optimizers

Science Score: 13.0%

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Low similarity (9.5%) to scientific vocabulary

Last synced: 10 months ago · JSON representation

Repository

An extension pack for keras-tuner for providing additional optimizers

Basic Info

Host: GitHub
Owner: Anselmoo
License: apache-2.0
Language: Python
Default Branch: main
Homepage:
Size: 117 KB

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Stars: 0
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 1

Created about 2 years ago · Last pushed almost 2 years ago

Metadata Files

Readme License

keras-tuner-extensionpack

An extension package for KerasTuner for providing more optimizers.

Currently Implemented Algorithms

This package extends KerasTuner with additional optimization algorithms. The currently implemented tuners include:

CMA-ES (Covariance Matrix Adaptation Evolution Strategy): An evolutionary algorithm for difficult non-linear non-convex optimization problems in continuous domain.
Differential Evolution: A metaheuristic approach that is useful for global optimization of a multidimensional function.
Harmony Search: A music-inspired algorithm that is based on the improvisation process of musicians.
Simulated Annealing: A probabilistic technique for approximating the global optimum of a given function.
Sine Cosine Algorithm: An optimization algorithm inspired by the sine and cosine mathematical functions.
Tabu Search: A metaheuristic search method using local or neighborhood search procedures for mathematical optimization.
Variable Depth Search: A search algorithm that explores more deeply into chosen paths in the search tree, rather than exploring alternative paths at the current level.

Each of these tuners can be used as via:

```python from kerastunerextensionpack.benchmark.functions import shiftedackley from kerastunerextensionpack.differentialevolution import DifferentialEvolution import keras_tuner

class MyTuner(DifferentialEvolution): def runtrial(self, trial, args, *kwargs): # Get the hp from trial. hp = trial.hyperparameters # Define "x" as a hyperparameter. x = hp.Float( "x", minvalue=-5, maxvalue=5, step=1e-8, sampling="linear", ) y = hp.Float( "y", minvalue=-5, maxvalue=5, step=1e-8, sampling="linear", ) return shiftedackley([x, y]) ```

Algorithms are pre-tested for:

```python def shifted_ackley(x: np.ndarray, shift: tuple = (1, 0.5)) -> float: """Shifted Ackley function.

Args:
    x (np.ndarray): Input vector.
    shift (np.ndarray): Shift vector.

Returns:
    float: Output value.
"""
return ackley(np.array([x[i] - shift[i] for i in range(len(x))]))

```

```python def sphere(x: np.ndarray) -> float: """Sphere function.

Args:
    x (np.ndarray): Input vector.

Returns:
    float: Output value.
"""
return np.sum(x**2)

```

```python def rosenbrock(x: np.ndarray) -> float: """Rosenbrock function.

Args:
    x (np.ndarray): Input array of shape with larger than 2,
        representing the coordinates.

Returns:
    float: Output value.
"""
return np.sum(100.0 * (x[1:] - x[:-1] ** 2.0) ** 2.0 + (1 - x[:-1]) ** 2.0, axis=0)

```

Install

shell pip install keras-tuner-extensionpack

or:

shell pip install git+https://github.com/Anselmoo/keras-tuner-extensionpack

[!NOTE] Please note that this is a very early draft of keras-tuner-extensionpack. This version may contain incomplete features, bugs, or major changes.

Contributing

Contributions to keras-tuner-extensionpack are welcome!

License

[!WARNING] This project was partially generated with extended support by GitHub Copilot and may not be completely verified. Please use with caution and feel free to report any issues you encounter. Thank you!

Owner

Name: Anselm Hahn
Login: Anselmoo
Kind: user
Location: Switzerland

Repositories: 100
Profile: https://github.com/Anselmoo

GitHub Events

Total

Last Year

Committers

Last synced: over 1 year ago

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Total Commits: 4
Total Committers: 1
Avg Commits per committer: 4.0
Development Distribution Score (DDS): 0.0

Past Year

Commits: 4
Committers: 1
Avg Commits per committer: 4.0
Development Distribution Score (DDS): 0.0

Top Committers

Name	Email	Commits
Anselm Hahn	A**n@g**m	4

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Average time to close pull requests: about 9 hours
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Merged pull requests: 3
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 3
Average time to close issues: N/A
Average time to close pull requests: about 9 hours
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Pull request authors: 1
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Average comments per pull request: 0.0
Merged pull requests: 3
Bot issues: 0
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size/XS (2)

Packages

Total packages: 1
Total downloads:
- pypi 16 last-month

Total dependent packages: 0
Total dependent repositories: 0
Total versions: 1
Total maintainers: 1

pypi.org: keras-tuner-extensionpack

An extension pack for keras-tuner for providing additional optimizers.

Homepage: https://github.com/Anselmoo/keras-tuner-extensionpack
Documentation: https://keras-tuner-extensionpack.readthedocs.io/
License: Apache-2.0
Latest release: 0.1.0
published about 2 years ago

Versions: 1
Dependent Packages: 0
Dependent Repositories: 0
Downloads: 16 Last month

Rankings

Dependent packages count: 9.5%

Average: 36.3%

Dependent repos count: 63.0%

Maintainers (1)

Anselm

Last synced: 10 months ago

Dependencies

.github/workflows/python-ci.yaml actions

actions/checkout v3 composite
actions/setup-python v3 composite

.github/workflows/python-publish.yaml actions

actions/checkout v4 composite
actions/download-artifact v3 composite
actions/setup-python v4 composite
actions/upload-artifact v3 composite
pypa/gh-action-pypi-publish release/v1 composite
sigstore/gh-action-sigstore-python v1.2.3 composite

poetry.lock pypi

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importlib-metadata 7.1.0
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keras 2.15.0
keras-applications 1.0.8
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keras-tuner 1.4.7
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pyproject.toml pypi

matplotlib --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "<3.8.2" python: "<3.9" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^3.8.2" python: "^3.9" benchmark
scikit-learn --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "<1.4.1.post1" python: "<3.9" - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.4.1.post1" python: "^3.9" benchmark
pytest ^8.0.0 develop
pytest-cov ^5.0.0 develop
ruff ^0.3.4 develop
keras-tuner ^1.4.6
numpy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "<1.26.4" python: "<3.9" markers: python_version < '3.9' - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.26.4" python: "^3.9" markers: python_version >= '3.9'
python >=3.8,<3.12
scipy --- - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "<1.12.0" python: "<3.9" markers: python_version < '3.9' optional: true - !ruby/hash:ActiveSupport::HashWithIndifferentAccess version: "^1.12.0" python: "^3.9" markers: python_version >= '3.9' optional: true
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update ^0.0.1

https://github.com/anselmoo/keras-tuner-extensionpack

Science Score: 13.0%

Repository

Basic Info

Statistics

Metadata Files

README.md

keras-tuner-extensionpack

Currently Implemented Algorithms

Algorithms are pre-tested for:

Install

Contributing

License

Owner

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