package owl
-
owl
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owl 1.0.2-1
Libraries
This package provides the following libraries (via dune):
owl
Documentation:
OwlOwl_algodiffOwl_algodiff_primal_opsOwl_cblasOwl_cblas_basicCBLAS interface: high-level interface between Owl and level-1, level-2, level-3 BLAS functions.Owl_cblas_generatedauto-generated cblas interface file, timestamp:1582875912Owl_clusterOwl_core_typesOwl_datasetDataset: easy access to various datasetsOwl_denseDense data structures: matrix & ndarrayOwl_dense_matrixMatrix: module aliasesOwl_dense_matrix_cComplex dense matrix module: this module supports operations on dense matrices of complex numbers. The complex number has a record type of{re = float; im = float}.Owl_dense_matrix_dOwl_dense_matrix_genericMatrix module: including creation, manipulation, and various vectorised mathematical operations.Owl_dense_matrix_intfOwl_dense_matrix_sOwl_dense_matrix_zComplex dense matrix module: this module supports operations on dense matrices of complex numbers. The complex number has a record type of{re = float; im = float}.Owl_dense_ndarrayNdarray: module aliasesOwl_dense_ndarray_aOwl_dense_ndarray_cOwl_dense_ndarray_dOwl_dense_ndarray_genericN-dimensional array module: including creation, manipulation, and various vectorised mathematical operations.Owl_dense_ndarray_intfOwl_dense_ndarray_sOwl_dense_ndarray_zOwl_distributionFunctor to generate distribution moduleOwl_distribution_commonInterface to the C implementation of rvs, pdf, and cdf functions.Owl_distribution_genericOwl_extExtension: interoperation on different number typesOwl_ext_binopOwl_ext_dense_matrixOwl_ext_dense_ndarrayOwl_ext_liftsOwl_ext_typesOwl_ext_uniopOwl_fftOwl_fft_dOwl_fft_genericFast Fourier TransformOwl_fft_sOwl_fftpackOwl_lapackeOwl_lapacke_generatedLAPACKE interface: low-level interface to the LAPACKE functionsOwl_linalgLinear algebra: module aliasesOwl_linalg_cOwl_linalg_dOwl_linalg_genericLinear algebra module including high-level functions to solve linear systems, factorisation, and etc.Owl_linalg_intfOwl_linalg_sOwl_linalg_zOwl_mathsMaths: fundamental and advanced mathematical functions.Owl_maths_specialOwl_matrixOwl_matrix_checkOwl_matrix_swapOwl_mcmcOwl_ndarrayTensor operations implementation in Owl's NdarrayOwl_ndarray_contractOwl_ndarray_convOwl_ndarray_fmaOwl_ndarray_mathsOwl_ndarray_poolOwl_ndarray_repeatOwl_ndarray_slideOwl_ndarray_sortOwl_ndarray_transposeOwl_ndarray_upsamplingOwl_ndarray_utilsOwl_neuralOwl_neural_parallelNeural network: interface of parallel engineOwl_nlpNLP: module aliasesOwl_nlp_corpusNLP: Corpus moduleOwl_nlp_ldaNLP: LDA moduleOwl_nlp_lda0NLP: LDA moduleOwl_nlp_similarityOwl_nlp_tfidfNLP: TFIDF moduleOwl_nlp_utilsOwl_nlp_vocabularyNLP: Vocabulary moduleOwl_optimiseOwl_parallelParallel & distributed computing: engine interfaceOwl_pplExperimental: Probabilistic ProgrammingOwl_ppl_random_variableOwl_regressionRegression ModuleThis module implements a set of regression functions. S module provides supports for single precision float numbers whilst D module provides supports for double precision float numbers.Owl_regression_genericOwl_regression_generic_sigOwl_signalSignal: Fundamental Signal Processing functions.Owl_slicingOwl_slicing_basicOwl_slicing_fancyOwl_sparseSparse data structures: matrix & ndarrayOwl_sparse_commonOwl_sparse_dok_matrixOwl_sparse_matrixSparse matrix: module aliasesOwl_sparse_matrix_cOwl_sparse_matrix_dOwl_sparse_matrix_genericSparse matrix moduleOwl_sparse_matrix_sOwl_sparse_matrix_zOwl_sparse_ndarraySparse ndarray: module aliasesOwl_sparse_ndarray_cOwl_sparse_ndarray_dOwl_sparse_ndarray_genericSparse N-dimensional array moduleOwl_sparse_ndarray_sOwl_sparse_ndarray_zOwl_statsStatistics: random number generators, PDF and CDF functions, and hypothesis tests. The module also includes some basic statistical functions such as mean, variance, skew, and etc.Owl_stats_distOwl_stats_extendOwl_stats_prngOwl_stats_sampler
Dependencies: ctypes, ctypes.stubs, eigen, owl-base, npy