ray-project / tune-sklearnLinks
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
☆467Updated last year
Alternatives and similar repositories for tune-sklearn
Users that are interested in tune-sklearn are comparing it to the libraries listed below
Sorting:
- Fast SHAP value computation for interpreting tree-based models☆541Updated 2 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆302Updated 4 months ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆628Updated last year
- Extra blocks for scikit-learn pipelines.☆1,351Updated last month
- Scikit-Learn API wrapper for Keras.☆247Updated 8 months ago
- A Python library for dynamic classifier and ensemble selection☆491Updated last year
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆614Updated 3 months ago
- Python package for Imputation Methods☆249Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆578Updated last year
- Leave One Feature Out Importance☆836Updated 6 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆522Updated 4 months ago
- EvalML is an AutoML library written in python.☆822Updated this week
- python partial dependence plot toolbox☆860Updated 11 months ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆662Updated 6 months ago
- Imputation of missing values in tables.☆490Updated last year
- Genetic feature selection module for scikit-learn☆322Updated last year
- A set of data tools in Python☆504Updated 7 months ago
- Improving XGBoost survival analysis with embeddings and debiased estimators☆341Updated 10 months ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆540Updated 6 months ago
- A machine learning package for streaming data in Python. The other ancestor of River.☆782Updated last year
- Data Analysis Baseline Library☆728Updated 8 months ago
- Phi_K correlation analyzer library☆166Updated last week
- Multiple Imputation with LightGBM in Python☆386Updated last year
- machine learning with logical rules in Python☆644Updated last year
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆151Updated 4 months ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,488Updated last month
- DeltaPy - Tabular Data Augmentation (by @firmai)☆549Updated last year
- scikit-learn contrib estimators☆198Updated last week
- Synthetic Minority Over-Sampling Technique for Regression☆345Updated last year
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 4 months ago