RNarayan73's Stars
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
microsoft/AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
alteryx/featuretools
An open source python library for automated feature engineering
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
DEAP/deap
Distributed Evolutionary Algorithms in Python
BartoszCichecki/LenovoLegionToolkit
Lightweight Lenovo Vantage and Hotkeys replacement for Lenovo Legion laptops.
ipython-contrib/jupyter_contrib_nbextensions
A collection of various notebook extensions for Jupyter
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
scikit-learn-contrib/sklearn-pandas
Pandas integration with sklearn
BayesWitnesses/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
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
feature-engine/feature_engine
Feature engineering package with sklearn like functionality
hyperopt/hyperopt-sklearn
Hyper-parameter optimization for sklearn
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
alteryx/evalml
EvalML is an AutoML library written in python.
okibcn/wslcompact
Compacts the size of the ever-growing WSL vhdx images.
Xtra-Computing/thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Neuraxio/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.
AutoViML/Auto_ViML
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
shakedzy/dython
A set of data tools in Python
ray-project/tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
MaxHalford/xam
:dart: Personal data science and machine learning toolbox
eli5-org/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
meeliskull/prg
Software to create Precision-Recall-Gain curves and calculate area under the curve
manuel-calzolari/shapicant
Feature selection package based on SHAP and target permutation, for pandas and Spark
Yard1/hpbandster-sklearn
A scikit-learn wrapper for HpBandSter hyper parameter search.
himbeles/pairwise-statistics
Pairwise Aggregated Statistics