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package owl
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owl
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owl_neural
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Library
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owl 0.2.6
Libraries
This package provides the following libraries (via ocamlobjinfo):
owl_neural
Documentation:
Owl_neural_neuronOwl_neural_optimiseOwl_neural_feedforwardOwl_neural_graphOwl_neural_parallelOwl_neural
owl
Documentation:
Owl_cblas_bindingsOwl_cblas_generatedOwl_cblasOwl_prettyGeneric matrix printing functions.Owl_mathsMathematics moduleOwl_utilsHelper functions used in the libraryOwl_statsStatistics moduleOwl_dense_commonOwl_backend_gsl_linalgOwl_slicingOwl_dense_ndarray_genericN-dimensional array module This module is built atop of Genarray module in OCaml Bigarray. The module also heavily relies on Lacaml to call native BLAS/LAPACK to improve the performance. The documentation of some math functions is copied directly from Lacaml.Owl_dense_matrix_genericOwl_typesDefine the types shared by various modulesOwl_sparse_commonOwl_sparse_matrix_genericSparse real matrix: this module supports the operations on sparse matrices of real numbers. The module is partly built atop of GSL fucntions. Because GSL only has limited support for sparse matrices. There are some hacks and workarounds in the code.Owl_sparse_ndarray_genericOwl_ext_typesOwl_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_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_operatorOwl_dense_matrixOwl_ext_dense_matrixOwl_dense_ndarray_aOwl_dense_ndarray_cOwl_dense_ndarray_dOwl_dense_ndarray_sOwl_dense_ndarray_zOwl_dense_ndarrayOwl_ext_dense_ndarrayOwl_ext_liftsOwl_ext_binopOwl_ext_uniopOwl_extOwl_algodiff_genericOwl_dense_vector_genericOwl_dense_vector_cOwl_dense_vector_dOwl_dense_vector_sOwl_dense_vector_zOwl_dense_vectorOwl_algodiff_numericalNumerical differentiation module This module provides APIs for performing numerical differentiation of any user defined functions. The module is part of Algodiff module, and only supports float numbers at the moment.Owl_algodiffAlgorithmic differentiationOwl_clusterOwl_constValues of physical constants CGS < MKS < SI. Read wikipedia on CGS and SI system for more details.Owl_nlp_utilsOwl_datasetDataset module provides an easy way to access various datasets for experimentOwl_denseDense matrix moduleOwl_fftFast Fourier Transforms (FFTs) : this module implements some basic FFT operations. Most of them are similar to the same funcitons in Matlab, and you will find it very easy to use in case you are familiar with Matlab.Owl_linalgLinalg moduleOwl_plotPlot module The input to a plot function is supposed to be a row-based matrix.Owl_optimiseOwl_regressionRegression moduleOwl_sparse_dok_matrixOwl_sparse_matrix_cOwl_sparse_matrix_dOwl_sparse_matrix_sOwl_sparse_matrix_zOwl_sparse_matrixOwl_sparse_ndarray_cOwl_sparse_ndarray_dOwl_sparse_ndarray_sOwl_sparse_ndarray_zOwl_sparse_ndarrayOwl_sparseSparse matrix moduleOwlOwl_convOwl_toplevelInstall Toplevel PrintersOwl_nlp_vocabularyOwl_nlp_corpusOwl_nlp_lda0Owl_nlp_similarityOwl_nlp_tfidfOwl_nlpOwl_nlp_ldaOwl_parallelOwl_backend_gsl_mathsOwl_backend_gsl_stats
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