package owl-top

0.4.0 (2018-08-08)

• Fix some bugs and improve performance.

• Introduce computation graph into the functor stack.

• Optimise repeat and tile function in the core.

• Adjust the OpenCL library according to computation graph.

• Improve the API of Dataframe module.

• Add more implementation of convolution operations.

• Add dilated convolution functions.

• Add transposed convolution functions.

• Add more neurons into the Neural module.

• Add more unit tests for core functions.

• Move from jbuilder to dune

• Assuage many warnings

0.3.8 (2018-05-22)

• Add initial support for dataframe functionality.

• Add IO module for Owl's specific file operations.

• Add more helper functions in Array module in Base.

• Add core functions such as one_hot, slide, and etc.

• Fix normalisation neuron in neural network module.

• Fix building, installation, and publishing on OPAM.

• Fix broadcasting issue in Algodiff module.

• Support negative axises in some ndarray functions.

• Add more statistical distribution functions.

• Add another higher level wrapper for CBLAS module.

0.3.7 (2018-04-25)

• Fix some bugs and improve performance.

• Fix some docker files for automatic image building.

• Move more pure OCaml implementation to base library.

• Add a new math module to support complex numbers.

• Improve the configuration and building system.

• Improve the automatic documentation building system.

• Change template code into C header files.

• Add initial support for OpenMP with evaluation.

• Tidy up packaging using TOPKG.

0.3.6 (2018-03-22)

• Fix some bugs and improve performance.

• Add more unit tests for Ndarray module.

• Add version control in Zoo gist system.

• Add tensor contract operations in Ndarray.

• Add more documentation of various functions.

• Add support of complex numbers of convolution and pooling functions.

• Enhance Owl's own Array submodule in Utils module.

• Fix pretty printer for rank 0 ndarrays.

• Add functions to iterate slices in an ndarray.

• Adjust the structure of OpenCL module.

0.3.5 (2018-03-12)

• Add functions for numerical integration.

• Add functions for interoperation.

• Add several root-finding algorithms.

• Introduce Owl's exception module.

• Add more functions in Linalg module.

• Add native convolution function in core.

• Remove Eigen dependency of dense data structure.

• Fix some bugs and improve performance.

0.3.4 (2018-02-26)

• Update README, ACKNOWLEDGEMENT, and etc.

• Initial implementation of OpenCL Context module.

• Fix some bugs and improve the performance.

• Add Adam learning rate algorithm in Optimise module.

• Add a number of statistical functions into Stats.

• Enhance View functor and add more functions.

• Include and documentation of NLP modules.

• Add dockerfile for various linux distributions.

0.3.3 (2018-02-12)

• Fix some bugs and improve the performance.

• Integrate with Owl's documentation system.

• Add native C implementation of pooling operations.

• Add more operators in Operator module.

• Add more functions in Linalg module.

• Optimise the Base library.

• Add more unit tests.

0.3.2 (2018-02-08)

• Fix some bugs and improve the performance.

• Functorise many unit tests and add more tests.

• Rewrite the documentation migrate to Sphinx system.

• Migrate many pure OCaml code into Base library.

• Implement the initial version of Base library.

0.3.1 (2018-01-25)

• Design View module as an experimental module for Ndarray.

• Include Mersenne Twister (SFMT) to generate random numbers.

• Implement random number generator of various distributions.

• Implement native functions for maths and stats module.

• Include FFTPACK to provide native support for FFT functions.

• Minimise dependency, remove dependencies on Gsl and etc.

• Implement slicing and indexing as native C functions.

• Use new extended indexing operators for slicing functions.

• Refine ndarray fold function and introduce scan function.

• Reorganise the module structure in the source tree.

• Fix some bugs and enhance the performance of core functions.

• Add another 200+ unit tests.

0.3.0 (2017-12-05)

• Migrate to jbuilder building system.

• Unify Dense Ndarray and Matrix types.

• Split Toplevel out as a separate library.

• Redesign Zoo system for recursive importing.

• Simplify the module signature for Ndarray.

• Introduce functions in Ndarray module to support in-place modification.

• Introduce reduction functions to reduce an ndarray to a scalar value.

• Add Lazy functor to support lazy evaluation, dataflow, and incremental computing.

• Implement a new and more powerful pretty printer to support both ndarray and matrix.

• Fix bugs in the core module, improve the performance.

0.2.8 (2017-09-02)

• New Linalg module is implemented.

• New neural network module supports both single and double precision.

• New Optimise and Regression module is built atop of Algodiff.

• Experimental Zoo system is introduced as a separate library.

• Enhance core functions and fix some bugs.

0.2.7 (2017-07-11)

• Enhance basic math operations for complex numbers.

• Redesign Plot module and add more plotting functions.

• Add more hypothesis test functions in Owl.Stats module.

• Support both numerical and algorithmic differentiation in Algodiff.

• Support both matrices and n-dimensional arrays in Algodiff module.

• Support interoperation of different number types in Ext and new operators.

• Support more flexible slicing, tile, repeat, and concatenate functions.

• Support n-dimensional array of any types in Dense.Ndarray.Any module.

• Support simple feedforward and convolutional neural networks.

• Support experimental distributed and parallel computing.

0.2.0 (2017-01-20)

• Support both dense and sparse matrices.

• Support both dense and sparse n-dimensional arrays.

• Support both real and complex numbers.

• Support both single and double precisions.

• Add more vectorised operation: sin, cos, ceil, and etc.

• Add basic unit test framework for Owl.

• Add a couple of Topic modelling algorithms.

0.1.0 (2016-11-09)

• Initial architecture of Owl library.

• Basic support for double precision real dense matrices.

• Basic linear functions for dense matrices.

• Basic support for plotting functions.

• SI, MKS, CGS, and CGSM metric system.