cliPolyaxon Core Client & CLI to streamline MLOps
Stars: ✭ 18 (-76.62%)
Mutual labels: scikit-learn
Algorithmic-TradingAlgorithmic trading using machine learning.
Stars: ✭ 102 (+32.47%)
Mutual labels: scikit-learn
simple esnsimple Echo State Networks integrated with scikit-learn
Stars: ✭ 24 (-68.83%)
Mutual labels: scikit-learn
scikit-learn-moocMachine learning in Python with scikit-learn MOOC
Stars: ✭ 783 (+916.88%)
Mutual labels: scikit-learn
pedestrian-detectionPedestrian Detection using Non Maximum Suppression
Stars: ✭ 30 (-61.04%)
Mutual labels: scikit-learn
BM25Transformer(Python) transform a document-term matrix to an Okapi/BM25 representation
Stars: ✭ 50 (-35.06%)
Mutual labels: scikit-learn
kaggledatasetsCollection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Stars: ✭ 44 (-42.86%)
Mutual labels: scikit-learn
KMeans elbowCode for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Stars: ✭ 35 (-54.55%)
Mutual labels: scikit-learn
sklearn-pmml-modelA library to parse and convert PMML models into Scikit-learn estimators.
Stars: ✭ 71 (-7.79%)
Mutual labels: scikit-learn
mlhandbookMy textbook for teaching Machine Learning
Stars: ✭ 23 (-70.13%)
Mutual labels: scikit-learn
CubistA Python package for fitting Quinlan's Cubist regression model
Stars: ✭ 22 (-71.43%)
Mutual labels: scikit-learn
verbeccComplete Conjugation of any Verb using Machine Learning for French, Spanish, Portuguese, Italian and Romanian
Stars: ✭ 45 (-41.56%)
Mutual labels: scikit-learn
CrabNetPredict materials properties using only the composition information!
Stars: ✭ 57 (-25.97%)
Mutual labels: scikit-learn
dlime experimentsIn this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Stars: ✭ 21 (-72.73%)
Mutual labels: scikit-learn
AutoTabularAutomatic machine learning for tabular data. ⚡🔥⚡
Stars: ✭ 51 (-33.77%)
Mutual labels: scikit-learn
turbofan failureAircraft engine failure prediction model
Stars: ✭ 23 (-70.13%)
Mutual labels: scikit-learn
reskitA library for creating and curating reproducible pipelines for scientific and industrial machine learning
Stars: ✭ 27 (-64.94%)
Mutual labels: scikit-learn
multiscorerA module for allowing the use of multiple metric functions in scikit's cross_val_score
Stars: ✭ 21 (-72.73%)
Mutual labels: scikit-learn