tvdboom / ATOM
Automated Tool for Optimized Modelling
☆156Updated 7 months ago
Alternatives and similar repositories for ATOM:
Users that are interested in ATOM are comparing it to the libraries listed below
- 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
- 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 3 months ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆532Updated last month
- ☆97Updated this week
- Validation (like Recursive Feature Elimination for SHAP) of (multiclass) classifiers & regressors and data used to develop them.☆134Updated 3 weeks ago
- Phi_K correlation analyzer library☆161Updated last month
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- A power-full Shapley feature selection method.☆203Updated 10 months ago
- Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM☆83Updated last year
- A python package for time series forecasting with scikit-learn estimators.☆161Updated 10 months ago
- All Relevant Feature Selection☆129Updated 3 weeks ago
- Clustering for mixed-type data☆97Updated 7 months ago
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆120Updated 9 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆206Updated 4 months ago
- Cyclic Boosting Machines - an explainable supervised machine learning algorithm☆60Updated 5 months ago
- Start a data science project with modern tools☆190Updated last year
- Streamline scikit-learn model comparison.☆146Updated 2 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆508Updated 5 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆275Updated 2 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…☆616Updated last week
- Jupyter Widget for Lux☆76Updated last year
- Sensible multi-core apply function for Pandas☆79Updated last month
- scikit-learn compatible tools for building credit risk acceptance models☆94Updated 3 weeks ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆61Updated 4 months ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆572Updated 8 months ago
- Forecasting with Gradient Boosted Time Series Decomposition☆193Updated last year
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆64Updated last month
- 📈 The panel-highcharts package makes it easy to use HighCharts in Python, Notebooks and with HoloViz Panel.☆155Updated 2 years ago