tvdboom / ATOM
Automated Tool for Optimized Modelling
☆159Updated 10 months ago
Alternatives and similar repositories for ATOM
Users that are interested in ATOM are comparing it to the libraries listed below
Sorting:
- Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking☆55Updated 3 years ago
- zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range fr…☆245Updated 5 months ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Feature engineering package with sklearn like functionality☆54Updated 8 months ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Data Analysis Baseline Library☆132Updated 6 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…☆648Updated 2 months ago
- A python package for time series forecasting with scikit-learn estimators.☆161Updated last year
- All Relevant Feature Selection☆134Updated last month
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆291Updated 3 weeks ago
- SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.☆139Updated 3 weeks ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated last year
- A power-full Shapley feature selection method.☆206Updated last year
- Phi_K correlation analyzer library☆164Updated 3 months ago
- Bayesian time series forecasting and decision analysis☆116Updated 2 years ago
- scikit-learn contrib estimators☆194Updated last month
- Forecasting with Gradient Boosted Time Series Decomposition☆195Updated last year
- Jupyter Widget for Lux☆76Updated 2 years ago
- hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…☆64Updated 2 months ago
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆210Updated 6 months ago
- DataFrame support for scikit-learn.☆63Updated last year
- Flexible time series feature extraction & processing☆417Updated 8 months ago
- Woodwork is a Python library that provides robust methods for managing and communicating data typing information.☆153Updated 2 weeks ago
- Sensible multi-core apply function for Pandas☆81Updated 2 weeks ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- Pre-processing database using pre-written functions☆20Updated 4 years ago
- A general purpose recommender metrics library for fair evaluation.☆280Updated last year
- Wrap-up to automatically tune xgboost in Python.☆80Updated 3 years ago
- Start a data science project with modern tools☆196Updated last year