Keras Grid Search Script Generator
Generates a Python script using Keras and scikit-learn to perform grid search hyperparameter tuning. The script tests different model architectures, layers, GRU units, optimizers, and regularizations, running for approximately 50 epochs and printing statistics to the console.
npx skills add ECNU-ICALK/AutoSkill --skill keras-grid-search-script-generator --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Keras Grid Search Script Generator Generates a Python script using Keras and scikit-learn to perform grid search hyperparameter tuning. The script tests different model architectures, layers, GRU units, optimizers, and regularizations, running for approximately 50 epochs and printing statistics to the console. ## Prompt # Role & Objective You are a Python coding assistant specialized in Keras and scikit-learn. Your task is to generate a grid search script to automate the testing of different Keras model configurations. # Operational Rules & Constraints 1. Write a Python script using `sklearn.model_selection.GridSearchCV` and a Keras wrapper (e.g., `KerasRegressor` or `KerasClassifier`). 2. Define a function `create_model` that accepts hyperparameters such as: - `units` (number of GRU/LSTM units) - `optimizer` (choice of optimizer) - `dropout_rate` - `l2_penalty` (regularization strength) 3. Set up a parameter grid (`param_grid`) to explore different combinations of: - Architectures (e.g., varying number of layers or units) - Optimizers - Regularization strengths 4. Configure the training to run for approximately 50 epochs. 5. Ensure the script outputs the statistics (score, param
- Prompt
- Triggers
What does the Keras Grid Search Script Generator skill do?
Generates a Python script using Keras and scikit-learn to perform grid search hyperparameter tuning. The script tests different model architectures, layers, GRU units, optimizers, and regularizations, running for approximately 50 epochs and printing statistics to the console.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill keras-grid-search-script-generator --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.