tvdboom / ATOM
Automated Tool for Optimized Modelling
☆155Updated 6 months ago
Alternatives and similar repositories for ATOM:
Users that are interested in ATOM are comparing it to the libraries listed below
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆245Updated last month
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.☆133Updated 5 months ago
- Phi_K correlation analyzer library☆160Updated this week
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆269Updated last month
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆596Updated 8 months ago
- All Relevant Feature Selection☆125Updated last week
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆530Updated 6 months ago
- A power-full Shapley feature selection method.☆202Updated 8 months ago
- A python package for time series forecasting with scikit-learn estimators.☆160Updated 9 months ago
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆506Updated 4 months ago
- EvalML is an AutoML library written in python.☆798Updated this week
- A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosyst…☆151Updated 11 months ago
- Examples of data science projects created with Kedro.☆170Updated last year
- Forecasting with Gradient Boosted Time Series Decomposition☆191Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆206Updated 3 months ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated last year
- Jupyter Widget for Lux☆76Updated last year
- Sensible multi-core apply function for Pandas☆79Updated 3 weeks ago
- Hierarchical Time Series Forecasting with a familiar API☆223Updated last year
- Random Forest or XGBoost? It is Time to Explore LCE☆67Updated last year
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆570Updated 7 months ago
- Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…☆321Updated this week
- A Python libreary for removing collinearity☆28Updated 3 years ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆83Updated last year
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- Wrap-up to automatically tune xgboost in Python.☆79Updated 3 years ago