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Narayan (RNarayan73)

RNarayan73

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Narayan's starred repositories

scikit-learn

scikit-learn: machine learning in Python

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AI-For-Beginners

12 Weeks, 24 Lessons, AI for All!

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tpot

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

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featuretools

An open source python library for automated feature engineering

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interpret

Fit interpretable models. Explain blackbox machine learning.

Language:C++License:MITStargazers:6160Issues:144Issues:439

deap

Distributed Evolutionary Algorithms in Python

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jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

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mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

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LenovoLegionToolkit

Lightweight Lenovo Vantage and Hotkeys replacement for Lenovo Legion laptops.

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sklearn-pandas

Pandas integration with sklearn

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m2cgen

Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

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explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

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feature_engine

Feature engineering package with sklearn like functionality

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hyperopt-sklearn

Hyper-parameter optimization for sklearn

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DALEX

moDel Agnostic Language for Exploration and eXplanation

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DiCE

Generate Diverse Counterfactual Explanations for any machine learning model.

Language:PythonLicense:MITStargazers:1321Issues:18Issues:166

evalml

EvalML is an AutoML library written in python.

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wslcompact

Compacts the size of the ever-growing WSL vhdx images.

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thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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HpBandSter

a distributed Hyperband implementation on Steroids

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Neuraxle

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

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Auto_ViML

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

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dython

A set of data tools in Python

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tune-sklearn

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Language:PythonLicense:Apache-2.0Stargazers:468Issues:17Issues:131

xam

:dart: Personal data science and machine learning toolbox

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eli5

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Language:Jupyter NotebookLicense:MITStargazers:252Issues:5Issues:13

prg

Software to create Precision-Recall-Gain curves and calculate area under the curve

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shapicant

Feature selection package based on SHAP and target permutation, for pandas and Spark

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hpbandster-sklearn

A scikit-learn wrapper for HpBandSter hyper parameter search.

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pairwise-statistics

Pairwise Aggregated Statistics

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