Topic: sklearn-compatible Goto Github
Some thing interesting about sklearn-compatible
Some thing interesting about sklearn-compatible
sklearn-compatible,XAISuite: Train machine learning models, generate explanations, and compare different explanation systems with just a simple line of code.
User: 11301858
Home Page: https://xaisuite.wordpress.com
sklearn-compatible,Utilities for easy use of custom losses in CatBoost, LightGBM, XGBoost.
User: 34j
sklearn-compatible,A collection of LightGBM callbacks. (DART early stopping, tqdm progress bar)
User: 34j
sklearn-compatible,Utilities for scikit-learn. Append prediction to x, append prediction to x single, append x prediction to x, compose var estimator, data frame wrapper, drop by noise prediction, drop missing rows y, dummy regressor var, estimator wrapper base, excluded column transformer pandas, feature union pandas, id transformer, included column transformer pand
User: 34j
Home Page: https://sklearn-utilities.readthedocs.io/en/latest/sklearn_utilities.html
sklearn-compatible,A tool for performing cross-validation with panel data
User: 4freye
sklearn-compatible,Parallel Hyperparameter Tuning in Python
Organization: arm-software
sklearn-compatible,Simulated annealing for feature selection
User: chrka
sklearn-compatible,Optimizers for/and sklearn compatible Machine Learning models
User: dmeoli
sklearn-compatible,Scikit learn compatible constrained and robust polynomial regression in Python
User: dschmitz89
Home Page: https://polyfit.readthedocs.io/en/latest/
sklearn-compatible,Wrapper which provides scikit-learn-compatible implementation of SkNN sequence labeling algorithm
User: generall
sklearn-compatible,Polynomial regression and classification with sklearn and tensorflow
User: gmodena
Home Page: http://nowave.it/factorization-machines-with-tensorflow.html
sklearn-compatible,Differential privacy for sklearn pipelines.
User: gmodena
sklearn-compatible,Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Organization: heal-research
sklearn-compatible,A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.
Organization: heidelbergcement
Home Page: https://hcrystalball.readthedocs.io/
sklearn-compatible,Enhancement of SKLearn Pipeline
User: hishamelamir
sklearn-compatible,Kaggle inspired classifiers with sklearn type of API.
User: jmyrberg
sklearn-compatible,Naive Bayes machine-learning classifiers for embedded systems
User: jonnor
sklearn-compatible,Feature engineering sklearn transformer for dates
Organization: kmedian
sklearn-compatible,One-Hot encoder with sklearn-ish API interface that process mixed string and numeric labels directly.
Organization: kmedian
sklearn-compatible,Scale a variable into an open interval (0,1) whereas values within a given lower and upper percentile maintain a linear relation, and outlier saturate towards the interval limits.
Organization: kmedian
sklearn-compatible,thermometer encoding with sklearn interface
Organization: kmedian
sklearn-compatible,A simple template of a Python API (web-service) for real-time Machine Learning predictions, using scikitlearn-like models, Flask and Docker.
User: lopezco
Home Page: https://lopezco.github.io/ml-flask-api
sklearn-compatible,Time series features creation
User: lopezco
sklearn-compatible,:snake: Extending sklearn LabelEncoder to handle sequences of labels
User: lzfelix
sklearn-compatible,Creating a Decision Tree Classifier using Python
User: marti1999
sklearn-compatible,Calculate the bias of k-fold cross-validation with hyper-parameter configuration
Organization: ml-opt
sklearn-compatible,Maximum A Posteriori Classifier
User: nwtgck
sklearn-compatible,SVR for multidimensional labels
User: nwtgck
sklearn-compatible,Common utility methods and classes to ease the work with sklearn, spacy, pandas, matplotlib
User: oroszgy
sklearn-compatible,Machine Learning Transition State Analysis (MLTSA) suite with Analytical models to create data on demand and test the approach on different types of data and ML models.
User: pedrojuanbj
Home Page: https://mltsa.readthedocs.io/en/latest/
sklearn-compatible,Python package providing an anomaly (outlier and novelty) detector based on the empirical Christoffel function.
User: pfgimenez
sklearn-compatible,Unofficial but extremely useful Label and One Hot encoders.
User: razhoshia
sklearn-compatible,combination of EvalML with Rapids for the WiDS 2021 competition
User: razhoshia
sklearn-compatible,OCR of Natural Photos using Machine-Learning techniques (based on Python sklearn toolkit)
User: sgino209
Home Page: https://drive.google.com/drive/u/0/folders/0B_FH_R-TNxHUTEZGWkdqczI1cWc
sklearn-compatible,Bleeding Edge machine learning algorithms
Organization: sig-ml
sklearn-compatible,ParALleL frAmework for moDel selectIOn
Organization: slipguru
sklearn-compatible,Sklearn compatible gridsearch based on a validation set.
User: stgrmks
sklearn-compatible,Sklearn compatible stacking classifier.
User: stgrmks
sklearn-compatible,Contains data preprocessing and visualization methods for ADL datasets.
User: tcsvn
sklearn-compatible,Drop-in replacement of sklearn's Linear Regression with coefficients constraints
User: tsitsimis
Home Page: https://tsitsimis.github.io/constrainedlr/
sklearn-compatible,additional wrapper and classes for sklearn's pipeline API
User: ulf1
sklearn-compatible,apply PCA and clustering to a dataset
User: vharavu
sklearn-compatible,A sklearn style interface to Stan regression models
User: wardbrian
Home Page: https://scikit-stan.readthedocs.io/
sklearn-compatible,A Python implementation of random vector functional networks and broad learning systems using Sklearn's Regressor and classifier APIs
User: x-tabdeveloping
sklearn-compatible,A scikit-learn-compatible module for Isolation-based anomaly detection using nearest-neighbor ensembles
User: xhan97
Home Page: https://inne.readthedocs.io
sklearn-compatible,A scikit-learn-compatible module for Isolation Kernel with aNNE implemention.
User: xhan97
sklearn-compatible,Boltzmann Machines in TensorFlow with examples
User: yell
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