AutoViML
Automated Machine Learning: Build Variant Interpretable Machine Learning models. Project Created by Ram Seshadri.
Pinned Repositories
Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutoViML
AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
deep_autoviml
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
featurewiz_polars
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
lazytransform
Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
Leakage_Free_OpenFE
Leakage Free OpenFE: automated feature generation with expert-level performance without the data leakage from the original version
pandas_dq
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
AutoViML's Repositories
AutoViML/AutoViz
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutoViML/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
AutoViML/featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.
AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
AutoViML/pandas_dq
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
AutoViML/deep_autoviml
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
AutoViML/lazytransform
Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
AutoViML/featurewiz_polars
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
AutoViML/AutoViML
AutoViML/Leakage_Free_OpenFE
Leakage Free OpenFE: automated feature generation with expert-level performance without the data leakage from the original version
AutoViML/GenAI_Projects
GenAI Projects based on working with Gemini and Open Source models and tools. Created by Ram Seshadri
AutoViML/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
AutoViML/approximate_predictions_feature_selector
New feature selector using the approximate_predictions method described in a Medium article.