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OCaml Scientific and Engineering Computing - Top
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  • Update Hamming, Hann, Blackman, Freqz functions in Signal module

  • Fix a bug in sparse matrix transpose; the dimensions are now swapped properly

  • Fix a bug in the split function in ndarray module

  • Fix a bug in combination calculation

  • Fix some compilation warnings on Windows, using Mingw toolchain

  • Document updates for PLplot and Windows

1.0.1 (2021-01-06)

  • Add eighth-order finite difference approximation

  • Fix bug in Jacobian with different input/output dimensions (#557)

  • Fix bug in nested grads (#558)

  • Update to ocamlformat.0.16.0 (thanks @gpetiot #556)

  • Add get_fancy to AD

  • Check input and output type of diff operation

  • Fix bug in build_info of aiso pattern in AD

  • Implement split forward mode and check max tag of build_info

  • Add initial implementation of fft2 and ifft2

  • Add nonsymmetric qs suppport for continuous and discrete time lyapunov gradients

  • Improve care and dare operations in AD

  • Improve forward mode efficiency for sylv, clyap and dlyap operations in AD

1.0.0 (2020-11-10)

  • Update project governance

  • Fix bug in convolution operation

  • Fix bug in AEOS module

  • Enable differentiation through the Jacobian in Algodiff

  • Fix windows compatibility issue (@kkirstein #549)

  • Fix bitwidth issue in mingw by replacing long type with int64_t (thanks @kkirstein)

  • Fix Dockerfile for master branch

0.10.0 (2020-10-04)

  • various documentation improvements (thanks @pveber, @UnixJunkie, @Fourchaux)

  • Fix use of access operators (#543)

  • Upgrade to ocamlformat 0.15.0 (thanks @gpetiot #535)

  • keep_dims option (#531)

  • stats: fix infinite loop in ecdf

  • Use Fun.protect to ensure all file descriptors are being closed

  • owl_ndarray_maths: improve user experience in case of errors

  • owl_io: close file descriptors also in case of errors

  • owl_dense_ndarray_generic: fix error on printing 0-ary arrays

  • fixed bug in sub forward mode (#533)

  • Add stack to Algodiff (#528)

  • added log_sum_exp to Ndarray and Algodiff (#527)

  • added single-precision and double-precision Bessel functions to Ndarray (#526)

  • Fixes #518 by introducing another / to resolve data directory (@jotterbach #519)

  • Graph Slice node (resolves #483) (@mreppen #517)

  • Graph subnetwork: Multiple outputs (@mreppen #515)

  • Added kron and swap to Algodiff operations (#512)

  • various other small fixes

0.9.0 (2020-03-03)

  • owl: sync opam files versioning

  • added stack function (#506)

  • Owl now compatible with latest version of Ctypes (#508)

  • Fix bug in _squeeze_broadcast (#503)

  • using extended indexing operator since ocaml 4.10.0

  • [breaking] Drop support for ocaml < 4.10.0

0.8.0 (2020-02-25)

  • Fix bug in _squeeze_broadcast (#503)

  • Added the Dawson function (Ndarray + Matrix + Algodiff op) (#502)

  • Fix bug in reverse mode gradients of aiso operations and pow (#501)

  • Added poisson_rvs to Owl_distribution (#499)

  • Draw poisson RVs in Ndarray and Mat modules (#498)

  • Broadcast bug for higher order derivatives (#495)

  • add sem to dense ndarray and matrix (#497)

  • Avoid input duplication with Graph.model and multi-input nn (#494)

  • Added Graph.get_subnetwork for constructing subnetworks (#491)

  • Make Graph.inputs give unique names to inputs (#493)

  • modify nlp interfaces

  • Re-add removed DiffSharp acknowledgment (#486)

  • add pretty printer for hypothesis type

  • update lambda neuron (#485)

  • fix example due to #476

  • Extend base linalg functions to complex numbers (#479)

  • [breaking] use a separate module for algodiff instead of ndarray directly (#476)

  • temp workaround and unittest (#478)

  • [breaking] Interface files for base/dense and base/linalg (#472)

  • Port code to dune2 (#474)

  • [breaking] interface files to simplify .mli files in owl/dense (#471)

  • Save and load Npy files (#470)

  • Owl: relax bounds on base and stdio (#469)

  • Merged tests for different AD operations into one big test + autoformat tests with ocamlformat (#468)

0.7.2 (2019-12-06)

  • fourth order finite diff approx to grad

  • changes to improve stability of sylv/discrete_lyap

  • fix bug in concatenate function

  • add mli for owl_base_linalg_generic

  • Owl-base linalg routines: LU decomposition (#465)

  • bug fixes

  • Update owl.opam

0.7.1 (2019-11-27)

  • Add unit basis

  • Fix issue #337 and #457 (#458)

  • owl-base: drop seemingly unnecessary dependency on integers (#456)

0.7.0 (2019-11-14)

  • Add unsafe network save (owlbarn/owl#429)

  • Sketch Count-Min and Heavy-Hitters

  • Various bugfixes

  • Owl_io.marshal_to_file: use to_channel

  • Do not create .owl folder when loading owl library

  • Re-design of exceptions and replace asserts with verify

  • Add OWL_DISABLE_LAPACKE_LINKING_FLAG

  • Reorganise Algodiff module

  • Add parameter support to Zoo

  • Two new features in algodiff: eye and linsolve (triangular option) + improved stability of qr and chol

  • Implemented solve triangular

  • Added linsolve and lq reverse-mode differentiation

  • Fix build on archlinux (pkg-config cblas)

  • Add median and sort along in ndarray

  • Improve stability of lyapunov gradient tests

0.6.0 (2019-07-17)

  • Add unsafe network save (#429)

  • Sketch Count-Min and Heavy-Hitters

  • Various ugfixes

  • Owl_io.marshal_to_file: use to_channel

  • Do not create .owl folder when loading owl library

  • Re-design of exceptions and replace asserts with verify

  • Add OWL_DISABLE_LAPACKE_LINKING_FLAG

  • Reorganise Algodiff module

  • Add parameter support to Zoo

  • Two new features in algodiff: eye and linsolve (triangular option) + improved stability of qr and chol

  • Implemented solve triangular

  • Added linsolve and lq reverse-mode differentiation

  • Fix build on archlinux (pkg-config cblas)

  • Add median and sort along in ndarray

  • Improve stability of lyapunov gradient tests

0.5.0 (2019-03-05)

  • Improve building and installation.

  • Fix bugs and improve performance.

  • Add more functions to Algodiff.

  • Split plot module out as sub library.

  • Split Tfgraph module out as sub library.

0.4.2 (2018-11-10)

  • Optimise computation graph module.

  • Add some core math functions.

  • Fix bugs and improve performance.

0.4.1 (2018-11-01)

  • Improve the APIs of Dataframe module.

  • Add more functions in Utils module.

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.