A |
| Activation [Owl_neural_neuron] |
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| Activation [Owl_neural] |
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| Add [Owl_neural_neuron] |
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| Arr [Owl_algodiff_generic.Make] |
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| Average [Owl_neural_neuron] |
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| AvgPool1D [Owl_neural_neuron] |
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| AvgPool2D [Owl_neural_neuron] |
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B |
| Batch [Owl_neural_optimise] |
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| Batch [Owl_neural] |
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C |
| C [Owl_dense_matrix] |
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| CGS [Owl_const] |
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| CGSM [Owl_const] |
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| Cdf [Owl_stats] |
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| Clipping [Owl_neural_optimise] |
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| Clipping [Owl_neural] |
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| Concatenate [Owl_neural_neuron] |
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| Conv1D [Owl_neural_neuron] |
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| Conv2D [Owl_neural_neuron] |
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| Conv3D [Owl_neural_neuron] |
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| Corpus [Owl_nlp] |
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D |
| D [Owl_dense_matrix] |
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| Dot [Owl_neural_neuron] |
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| Dropout [Owl_neural_neuron] |
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F |
| FTreeLDA [Owl_nlp_lda] |
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| Feedforward [Owl_neural] |
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| Flatten [Owl_neural_neuron] |
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| FullyConnected [Owl_neural_neuron] |
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G |
| GRU [Owl_neural_neuron] |
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| GaussianDropout [Owl_neural_neuron] |
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| GaussianNoise [Owl_neural_neuron] |
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| Generic [Owl_dense_matrix] |
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| Gradient [Owl_neural_optimise] |
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| Gradient [Owl_neural] |
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| Graph [Owl_neural] |
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I |
| Init [Owl_neural_neuron] |
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| Init [Owl_neural] |
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| Input [Owl_neural_neuron] |
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L |
| L [Owl_lapacke] |
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| LSTM [Owl_neural_neuron] |
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| Lambda [Owl_neural_neuron] |
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| Lda [Owl_nlp] |
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| Learning_Rate [Owl_neural_optimise] |
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| Learning_Rate [Owl_neural] |
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| LightLDA [Owl_nlp_lda] |
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| Linear [Owl_neural_neuron] |
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| LinearNoBias [Owl_neural_neuron] |
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| Loss [Owl_neural_optimise] |
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| Loss [Owl_neural] |
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M |
| MKS [Owl_const] |
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| Make [Owl_algodiff_generic] |
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| Make_Basic [Owl_operator] |
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| Make_Extend [Owl_operator] |
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| Make_Matrix [Owl_operator] |
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| Masking [Owl_neural_neuron] |
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| Mat [Owl_algodiff_generic.Make] |
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| Maths [Owl_algodiff_generic.Make] |
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| Max [Owl_neural_neuron] |
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| MaxPool1D [Owl_neural_neuron] |
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| MaxPool2D [Owl_neural_neuron] |
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| Momentum [Owl_neural_optimise] |
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| Momentum [Owl_neural] |
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| Mul [Owl_neural_neuron] |
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N |
| Normalisation [Owl_neural_neuron] |
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O |
| Operator [Owl_dense_matrix] |
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| Owl_algodiff_generic |
Algodiff: algorithmic differentiation module
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| Owl_algodiff_numerical |
Algodiff: numerical differentiation module
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| Owl_cblas |
CBLAS interface: high-level interface beween Owl and level-1, level-2,
level-3 BLAS functions.
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| Owl_const |
Metric system: CGS, MKS, SI, and physical constants.
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| Owl_dense_matrix |
Matrix: module aliases
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| Owl_dense_matrix_generic |
Matrix module: including creation, manipulation, and various vectorised
mathematical operations.
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| Owl_dense_ndarray_generic |
N-dimensional array module: including creation, manipulation, and various
vectorised mathematical operations.
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| Owl_fft |
Fast Fourier Transforms (FFTs)
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| Owl_lapacke |
LAPACKE interface: high-level interface between Owl and LAPACKE
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| Owl_lapacke_generated |
LAPACKE interface: low-level interface to the LAPACKE functions
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| Owl_linalg |
Linear algebra module including high-level functions to solve linear
systems, factorisation, and etc.
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| Owl_maths |
Maths: fundamental and advanced mathematical functions.
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| Owl_neural |
Neural network: module aliases
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| Owl_neural_feedforward |
Neural network: Feedforward neural network
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| Owl_neural_graph |
Neural network: Graphical neural network
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| Owl_neural_neuron |
Neural network: Neuron definitions
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| Owl_neural_optimise |
Neural network: optimisation engine
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| Owl_nlp |
NLP: module aliases
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| Owl_nlp_corpus |
NLP: Corpus module
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| Owl_nlp_lda |
NLP: LDA module
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| Owl_nlp_tfidf |
NLP: TFIDF module
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| Owl_nlp_vocabulary |
NLP: Vocabulary module
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| Owl_operator |
Operator definition such add, sub, mul, and div.
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| Owl_plot |
Plot: high-level plotting functions.
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| Owl_regression |
Regression module
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| Owl_sparse_matrix_generic |
Sparse matrix module
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| Owl_sparse_ndarray_generic |
Sparse N-dimensional array module
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| Owl_stats |
Statistics: random number generators, PDF and CDF functions, and hypothesis
tests.
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P |
| Padding1D [Owl_neural_neuron] |
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| Padding2D [Owl_neural_neuron] |
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| Padding3D [Owl_neural_neuron] |
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| Parallel [Owl_neural] |
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| Params [Owl_neural_optimise] |
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| Params [Owl_neural] |
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| Pdf [Owl_stats] |
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| Prefix [Owl_const] |
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R |
| Recurrent [Owl_neural_neuron] |
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| Regularisation [Owl_neural_optimise] |
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| Regularisation [Owl_neural] |
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| Reshape [Owl_neural_neuron] |
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| Rnd [Owl_stats] |
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S |
| S [Owl_dense_matrix] |
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| SI [Owl_const] |
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| SimpleLDA [Owl_nlp_lda] |
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| SparseLDA [Owl_nlp_lda] |
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| Stopping [Owl_neural_optimise] |
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T |
| Tfidf [Owl_nlp] |
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U |
| UpSampling1D [Owl_neural_neuron] |
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| UpSampling2D [Owl_neural_neuron] |
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| UpSampling3D [Owl_neural_neuron] |
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| Utils [Owl_neural_optimise] |
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V |
| Vec [Owl_nlp_tfidf] |
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| Vocabulary [Owl_nlp] |
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Z |
| Z [Owl_dense_matrix] |
|