Pylint
Keras
Pylint | Keras | |
---|---|---|
29 | 78 | |
5,131 | 60,995 | |
0.9% | 0.4% | |
9.6 | 9.9 | |
2 days ago | about 22 hours ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Pylint
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W1203: logging-fstring-interpolation (Solved)
A little introduction about pylint. Pylint is a static code analyzer, it analyses your code without actually running it. Pylint looks for potential errors, gives suggestions on coding standards that your code is not adhering to, potential places where refactoring might help, and also warnings about smelly code.
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Enhancing Python Code Quality: A Comprehensive Guide to Linting with Ruff
Pylint, on the other hand, focuses on code analysis and style checking. It offers extensive customization options and supports various coding standards. Pylint is known for its comprehensive reports and ability to detect a wide range of code issues.
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Options for configuration of python libraries - Stack Overflow
In my opinion, the best way to expose configuration options is to read and parse them from the project's pyproject.toml file. Here's how Pylint handles it.
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Pylint strict base configuration
I even contributed to Pylint by submitting a new rule a few years ago : implicit-str-concat.
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Premier League Project Infrastructure Update
Implemented code formatting with Black and linting with Pylint in my CI pipeline. Here is my updated GitHub Actions Workflow file: ci.yml
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Improve your Django Code with pre-commit
One last thing to do before running the hooks is to create a config file, just like we did with flake8. For this you are going to create a pylintrc file at the roor of your project and copy the contents of the pylintrc file from the pylint repo (here is the link to it).
- Even the Pylint codebase uses Ruff
Keras
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Library for Machine learning and quantum computing
Keras
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My Favorite DevTools to Build AI/ML Applications!
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development.
- Release: Keras 3.3.0
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Getting Started with Gemma Models
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow.
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Keras 3.0
All breaking changes are listed here: https://github.com/keras-team/keras/issues/18467
You can use this migration guide to identify and fix each of these issues (and further, making your code run on JAX or PyTorch): https://keras.io/guides/migrating_to_keras_3/
- Keras 3: A new multi-back end Keras
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Can someone explain how keras code gets into the Tensorflow package?
I'm guessing the "real" keras code is coming from the keras repository. Is that a correct assumption? How does that version of Keras get there? If I wanted to write my own activation layer next to ELU, where exactly would I do that?
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How popular are libraries in each technology
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks.
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List of AI-Models
Click to Learn more...
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Official Question Thread! Ask /r/photography anything you want to know about photography or cameras! Don't be shy! Newbies welcome!
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them.
What are some alternatives?
Flake8 - flake8 is a python tool that glues together pycodestyle, pyflakes, mccabe, and third-party plugins to check the style and quality of some python code.
MLP Classifier - A handwritten multilayer perceptron classifer using numpy.
pylama - Code audit tool for python.
scikit-learn - scikit-learn: machine learning in Python
black - The uncompromising Python code formatter
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
prospector - Inspects Python source files and provides information about type and location of classes, methods etc
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
autopep8 - A tool that automatically formats Python code to conform to the PEP 8 style guide.
tensorflow - An Open Source Machine Learning Framework for Everyone
ruff - An extremely fast Python linter and code formatter, written in Rust.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.