wasm-bhtsne

Barnes-Hut implementations of t-SNE in wasm

v1.1.0 URL: https://unpkg.com/wasm-bhtsne@1.1.0/index.js

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tsne data-visualization webassembly wasm rust

wasm-dist-bhtsne

This is a WebAssembly (WASM) port of the modified Barnes-Hut t-SNE algorithm that works with pre-computed distance vector. The original Rust implementation can be found [here](https://github.com/frjnn/bhtsne).

v1.1.1 URL: https://unpkg.com/wasm-dist-bhtsne@1.1.1/wasm_dist_bhtsne.js

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tsne data-visualization webassembly wasm rust qdrant

sklearn

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

v0.4.0 URL: https://unpkg.com/sklearn@0.4.0/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

tsne-js

t-SNE implementation in JavaScript

v1.0.3 URL: https://unpkg.com/tsne-js@1.0.3/dist/index.js

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Barnes-Hut t-SNE tSNE tsne t-distributed stochastic neighbor embedding

@arilotter/tsne-js

t-SNE implementation in JavaScript

v1.0.3 URL: https://unpkg.com/@arilotter/tsne-js@1.0.3/dist/index.js

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Barnes-Hut t-SNE tSNE tsne t-distributed stochastic neighbor embedding