storybook-addon-playground

A playground to enable consumers learn how to use the component library or to reproduce bugs

v3.0.0 URL: https://unpkg.com/storybook-addon-playground@3.0.0/dist/index.js

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playground sandbox code debug learn reproduce bugs component storybook-addons

nesh

An enhanced, extensible shell for Node.js

v1.7.0 URL: https://unpkg.com/nesh@1.7.0/lib/nesh.js

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script interactive shell interpreter extend enhance enhanced embed embedding coffee plugin learn try

@max-black/npm-practice

This interactive CLI tutor is designed as hands-on practice for readers of the [NPM Book by Max Black](https://www.amazon.com/dp/B0FSX9TZZ1). If you're working through the book, this tool will guide you through real-world npm workflows — from initializi

v0.0.7 URL: https://unpkg.com/@max-black/npm-practice@0.0.7/index.js

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sklearn

Use Python's #1 machine learning library from Node.js

v1.0.0 URL: https://unpkg.com/sklearn@1.0.0/build/index.js

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scikit learn sklearn machine learning ml ai SelectorMixin CalibratedClassifierCV AffinityPropagation AgglomerativeClustering Birch DBSCAN FeatureAgglomeration KMeans BisectingKMeans MiniBatchKMeans MeanShift OPTICS SpectralClustering SpectralBiclustering SpectralCoclustering ColumnTransformer TransformedTargetRegressor EmpiricalCovariance EllipticEnvelope GraphicalLasso GraphicalLassoCV LedoitWolf MinCovDet OAS ShrunkCovariance CCA PLSCanonical PLSRegression PLSSVD DictionaryLearning FactorAnalysis FastICA IncrementalPCA KernelPCA LatentDirichletAllocation MiniBatchDictionaryLearning MiniBatchSparsePCA NMF MiniBatchNMF PCA SparsePCA SparseCoder TruncatedSVD LinearDiscriminantAnalysis QuadraticDiscriminantAnalysis DummyClassifier DummyRegressor AdaBoostClassifier AdaBoostRegressor BaggingClassifier BaggingRegressor ExtraTreesClassifier ExtraTreesRegressor GradientBoostingClassifier GradientBoostingRegressor IsolationForest RandomForestClassifier RandomForestRegressor RandomTreesEmbedding StackingClassifier StackingRegressor VotingClassifier VotingRegressor HistGradientBoostingRegressor HistGradientBoostingClassifier ConvergenceWarning DataConversionWarning DataDimensionalityWarning EfficiencyWarning FitFailedWarning NotFittedError UndefinedMetricWarning DictVectorizer FeatureHasher PatchExtractor CountVectorizer HashingVectorizer TfidfTransformer TfidfVectorizer GenericUnivariateSelect SelectPercentile SelectKBest SelectFpr SelectFdr SelectFromModel SelectFwe SequentialFeatureSelector RFE RFECV VarianceThreshold GaussianProcessClassifier GaussianProcessRegressor CompoundKernel ConstantKernel DotProduct ExpSineSquared Exponentiation Hyperparameter Kernel Matern PairwiseKernel Product RBF RationalQuadratic Sum WhiteKernel SimpleImputer IterativeImputer MissingIndicator KNNImputer DecisionBoundaryDisplay PartialDependenceDisplay IsotonicRegression AdditiveChi2Sampler Nystroem PolynomialCountSketch RBFSampler SkewedChi2Sampler KernelRidge LogisticRegression LogisticRegressionCV PassiveAggressiveClassifier Perceptron RidgeClassifier RidgeClassifierCV SGDClassifier SGDOneClassSVM LinearRegression Ridge RidgeCV SGDRegressor ElasticNet ElasticNetCV Lars LarsCV Lasso LassoCV LassoLars LassoLarsCV LassoLarsIC OrthogonalMatchingPursuit OrthogonalMatchingPursuitCV ARDRegression BayesianRidge MultiTaskElasticNet MultiTaskElasticNetCV MultiTaskLasso MultiTaskLassoCV HuberRegressor QuantileRegressor RANSACRegressor TheilSenRegressor PoissonRegressor TweedieRegressor GammaRegressor Isomap LocallyLinearEmbedding MDS SpectralEmbedding TSNE DistanceMetric ConfusionMatrixDisplay DetCurveDisplay PrecisionRecallDisplay PredictionErrorDisplay RocCurveDisplay CalibrationDisplay BayesianGaussianMixture GaussianMixture GroupKFold GroupShuffleSplit KFold LeaveOneGroupOut LeavePGroupsOut LeaveOneOut LeavePOut PredefinedSplit RepeatedKFold RepeatedStratifiedKFold ShuffleSplit StratifiedKFold StratifiedShuffleSplit StratifiedGroupKFold TimeSeriesSplit GridSearchCV HalvingGridSearchCV ParameterGrid ParameterSampler RandomizedSearchCV HalvingRandomSearchCV LearningCurveDisplay OneVsRestClassifier OneVsOneClassifier OutputCodeClassifier ClassifierChain MultiOutputRegressor MultiOutputClassifier RegressorChain BernoulliNB CategoricalNB ComplementNB GaussianNB MultinomialNB BallTree KDTree KernelDensity KNeighborsClassifier KNeighborsRegressor KNeighborsTransformer LocalOutlierFactor RadiusNeighborsClassifier RadiusNeighborsRegressor RadiusNeighborsTransformer NearestCentroid NearestNeighbors NeighborhoodComponentsAnalysis BernoulliRBM MLPClassifier MLPRegressor FeatureUnion Pipeline Binarizer FunctionTransformer KBinsDiscretizer KernelCenterer LabelBinarizer LabelEncoder MultiLabelBinarizer MaxAbsScaler MinMaxScaler Normalizer OneHotEncoder OrdinalEncoder PolynomialFeatures PowerTransformer QuantileTransformer RobustScaler SplineTransformer StandardScaler GaussianRandomProjection SparseRandomProjection LabelPropagation LabelSpreading SelfTrainingClassifier LinearSVC LinearSVR NuSVC NuSVR OneClassSVM SVC SVR DecisionTreeClassifier DecisionTreeRegressor ExtraTreeClassifier ExtraTreeRegressor Bunch Parallel

nodebook

Node.js • Apprendre par la pratique. Familiarisez-vous avec JavaScript, Node.js et l'écosystème de modules npm. Apprenez à concevoir et à déployer des applications web et des outils en ligne de commande.

v1.0.14 URL: https://unpkg.com/nodebook@1.0.14/server.js

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nodejs book french livre learn apprendre

storybook-addon-playground

A playground to enable consumers learn how to use the component library or to reproduce bugs

nesh

An enhanced, extensible shell for Node.js

@max-black/npm-practice

This interactive CLI tutor is designed as hands-on practice for readers of the [NPM Book by Max Black](https://www.amazon.com/dp/B0FSX9TZZ1). If you're working through the book, this tool will guide you through real-world npm workflows — from initializi

sklearn

Use Python's #1 machine learning library from Node.js

nodebook

Node.js • Apprendre par la pratique. Familiarisez-vous avec JavaScript, Node.js et l'écosystème de modules npm. Apprenez à concevoir et à déployer des *applications web* et des *outils en ligne de commande*.

Node.js • Apprendre par la pratique. Familiarisez-vous avec JavaScript, Node.js et l'écosystème de modules npm. Apprenez à concevoir et à déployer des applications web et des outils en ligne de commande.