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  2. List of PDF software - Wikipedia

    en.wikipedia.org/wiki/List_of_PDF_software

    Proprietary software for viewing and editing PDF documents. pdftk: GNU GPL/Proprietary: command-line tools to manipulate, edit and convert documents; supports filling of PDF forms with FDF/XFDF data. PDF-XChange Viewer: Freeware: Freeware PDF reader, tagger, editor (simple editions) and converter (free for non-commercial uses).

  3. Vowpal Wabbit - Wikipedia

    en.wikipedia.org/wiki/Vowpal_Wabbit

    Vowpal wabbit has been used to learn a tera-feature (10 12) data-set on 1000 nodes in one hour. [1] Its scalability is aided by several factors: Out-of-core online learning: no need to load all data into memory; The hashing trick: feature identities are converted to a weight index via a hash (uses 32-bit MurmurHash3)

  4. Category:Free PDF software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_PDF_software

    This is a category of articles relating to free software for making or viewing Portable Document Format (PDF) documents. That is, software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy. Typically, this means software which is distributed with a free software license, and whose source code ...

  5. Hyperparameter optimization - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_optimization

    In machine learning, hyperparameter optimization [1] or tuning is the problem of choosing a set of optimal hyperparameters for a learning algorithm. A hyperparameter is a parameter whose value is used to control the learning process, which must be configured before the process starts.

  6. Hyperparameter (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Hyperparameter_(machine...

    In machine learning, a hyperparameter is a parameter that can be set in order to define any configurable part of a model's learning process. Hyperparameters can be classified as either model hyperparameters (such as the topology and size of a neural network) or algorithm hyperparameters (such as the learning rate and the batch size of an optimizer).

  7. HiGHS optimization solver - Wikipedia

    en.wikipedia.org/wiki/HiGHS_optimization_solver

    As powerful open‑source software under active development, HiGHS is increasingly being adopted by application software projects that provide support for numerical analysis. The SciPy scientific library, for instance, uses HiGHS as its LP solver [13] from release 1.6.0 [14] and the HiGHS MIP solver for discrete optimization from release 1.9.0 ...

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