Package: blimps-examples Description-md5: 18ddc9ff8aab78bc1efd53cccc24389d Description-en: blocks database improved searcher (example data) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains example data. Package: blimps-utils Description-md5: 1afe4567b883b39e7050a4f604a91e17 Description-en: blocks database improved searcher BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package contains the binaries. Package: firmware-qcom-dragonboard845c Description-md5: 3507088ed94312d44b4d5f5207d7374f Description-en: Binary firmware for various Qualcomm drivers used on Dragonboard 845c This package contains the binary firmware for GPU, USB, Venus, DSP hardware coprocessors found on SDM845, which is the main SoC on the Dragonboard 845c. Package: firmware-qcom-rb3gen2 Description-md5: 932dde057b2dbbe5130433652321aa51 Description-en: Binary firmware for Qualcomm Robotics RB3 Gen2 This package contains the binary firmware for the QCS6490, which is the main SoC on the Robotics RB3 Gen2. Package: firmware-qcom-rb5 Description-md5: 0abf8cbedf59bff7af0b4696550319c7 Description-en: Binary firmware for various Qualcomm drivers used on Robotics RB5 This package contains the binary firmware for the SM8250, which is the main SoC on the Robotics RB5. Package: gitaly-installer Description-md5: a0db51942a7c98ec821bffaf2b5a8789 Description-en: Git RPC service for handling all the git calls made by GitLab Gitaly makes the git data storage tier of large GitLab instances fast. This is achieved by moving git operations as close to the data as possible and Optimizing git services using caching. Gitaly is a core service of gitlab. This package installs Gitaly from pre-built binaries from Gitlab artifacts. Package: gitlab-common Description-md5: ccb3bd8dfffd14a6e75d53315368861a Description-en: git powered software platform to collaborate on code (common) gitlab provides web based interface to host source code and track issues. It allows anyone for fork a repository and send merge requests. Code review is possible using merge request workflow. Using groups and roles project access can be controlled. . This package includes configurations common to gitlab and gitaly. Package: libamgcl-dev Description-md5: ec65c5ece2e2ac48e9fba2a354789071 Description-en: Solves large sparse linear systems with algebraic multigrid method AMG is one of the most effective iterative methods for solution of equation systems arising, for example, from discretizing PDEs on unstructured grids. The method can be used as a black-box solver for various computational problems, since it does not require any information about the underlying geometry. AMG is often used not as a standalone solver but as a preconditioner within an iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES). . AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the provided backends. This allows for transparent acceleration of the solution phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide their own backends which enables tight integration between AMGCL and the user code. . AMG is a header-only C++ library, with the headers provided by this package. Package: libblimps3 Description-md5: a1ad50ab461eca726e0a4e957f1a2ffa Description-en: blocks database improved searcher library BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the shared library. Package: libblimps3-dev Description-md5: 4d04b155f279229d68533b0ec59a8e4f Description-en: blocks database improved searcher library (development) BLIMPS (BLocks IMProved Searcher) is a searching tool that scores a protein sequence against blocks or a block against sequences. . This package provides the library development headers and the static library. Package: libggml0-backend-cuda Description-md5: 56db844880e610d6c8401c92a13f05dd Description-en: Tensor library for machine learning - CUDA backend ggml is a tensor library for machine learning with the following features: . * Low-level cross-platform implementation * Integer quantization support * Broad hardware support * Automatic differentiation * ADAM and L-BFGS optimizers * No third-party dependencies * Zero memory allocations during runtime . On Debian, ggml is shipped as a package that depends on one of the CPU or GPU backends. . This package provides the CUDA backend, for NVIDIA GPUs. Package: libgloo-cuda-0 Description-md5: 11fe5b4bb9197845522ecac87176ae15 Description-en: Collective communications library (shared object) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the shared object for Gloo. Package: libgloo-cuda-dev Description-md5: 1eb5d67397fdb9a8162c5c082d1e6d78 Description-en: Collective communications library (development files) Gloo is a collective communications library. It comes with a number of collective algorithms useful for machine learning applications. These include a barrier, broadcast, and allreduce. . Transport of data between participating machines is abstracted so that IP can be used at all times, or InifiniBand (or RoCE) when available. In the latter case, if the InfiniBand transport is used, GPUDirect can be used to accelerate cross machine GPU-to-GPU memory transfers. . Where applicable, algorithms have an implementation that works with system memory buffers, and one that works with NVIDIA GPU memory buffers. In the latter case, it is not necessary to copy memory between host and device; this is taken care of by the algorithm implementations. . This package ships the development files. Package: libparmetis-dev Description-md5: 839c770f477cb92f6af09275d807c484 Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Libs: Devel ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains files needed to develop programs using ParMetis. Package: libparmetis4.0 Description-md5: 17a6686f47a3b63f4328881bffab697b Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Shared Libs ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains the ParMetis shared libraries. Package: librna-perl Description-md5: 895cf06070e423e768fdaf45508091e5 Description-en: ViennaRNA perl wrappers Perl wrappers above ViennaRNA library. . The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures Package: libtensorpipe-cuda-0 Description-md5: b49a93726d4da68e6161824dc04f12b3 Description-en: tensor-aware point-to-point communication primitive for machine learning The TensorPipe project provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein (e.g., CUDA device-to-device copy). . This package contains shared objects. Package: libtensorpipe-cuda-dev Description-md5: 6b4397dd30e29fe70ebb4ea9c71ececf Description-en: tensor-aware point-to-point communication primitive for machine learning The TensorPipe project provides a tensor-aware channel to transfer rich objects from one process to another while using the fastest transport for the tensors contained therein (e.g., CUDA device-to-device copy). . This package contains development files. Package: octave-astra-toolbox Description-md5: 19af48502a78cfefea101547a3f3aa12 Description-en: toolbox of high-performance GPU primitives for 2D and 3D tomography (octave) It supports 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. . A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. . The basic forward and backward projection operations are GPU-accelerated, and directly callable from Octave and Python to enable building new algorithms. . This is the Octave library. Package: parmetis-doc Description-md5: 55cc39b179c0b5b2dedead6fc6a8c34f Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Lib - Docs ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains the documentation and example files. Package: parmetis-test Description-md5: b9b53f52a3b7e53d03b5260911e600a9 Description-en: Parallel Graph Partitioning and Sparse Matrix Ordering Tests ParMetis computes minimal-cut partitions of graphs and meshes in parallel, and orders variables for minimal fill when using direct solvers for sparse matrices. It does all this in parallel, and also can efficiently re-partition a graph or mesh whose connectivity has changed. . This package contains programs which test the ParMetis libraries using files in the parmetis-doc package's examples directory. Package: python-pycuda-doc Description-md5: 4b4f2b1e8b32879eefe98c99f3a598ba Description-en: module to access Nvidia‘s CUDA computation API (documentation) PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains HTML documentation and example scripts. Package: python3-amgcl Description-md5: ecbb9c7c4315244c6b65581f6b220a1f Description-en: Solves large sparse linear systems with algebraic multigrid method AMG is one of the most effective iterative methods for solution of equation systems arising, for example, from discretizing PDEs on unstructured grids. The method can be used as a black-box solver for various computational problems, since it does not require any information about the underlying geometry. AMG is often used not as a standalone solver but as a preconditioner within an iterative solver (e.g. Conjugate Gradients, BiCGStab, or GMRES). . AMGCL builds the AMG hierarchy on a CPU and then transfers it to one of the provided backends. This allows for transparent acceleration of the solution phase with help of OpenCL, CUDA, or OpenMP technologies. Users may provide their own backends which enables tight integration between AMGCL and the user code. . This package provides the Python interface Package: python3-astra-toolbox Description-md5: 7f59c83f6c23c2f985b14da805dfece4 Description-en: toolbox of high-performance GPU primitives for 2D and 3D tomography (Python3) It supports 2D parallel and fan beam geometries, and 3D parallel and cone beam. All of them have highly flexible source/detector positioning. . A large number of 2D and 3D algorithms are available, including FBP, SIRT, SART, CGLS. . The basic forward and backward projection operations are GPU-accelerated, and directly callable from Octave and Python to enable building new algorithms. . This is the Python3 library. Package: python3-pycuda Description-md5: 4f446cb70e3ba6723eaae62a94efb36c Description-en: Python 3 module to access Nvidia‘s CUDA parallel computation API PyCUDA lets you access Nvidia‘s CUDA parallel computation API from Python. Several wrappers of the CUDA API already exist–so what’s so special about PyCUDA? * Object cleanup tied to lifetime of objects. This idiom, often called RAII in C++, makes it much easier to write correct, leak- and crash-free code. PyCUDA knows about dependencies, too, so (for example) it won’t detach from a context before all memory allocated in it is also freed. * Convenience. Abstractions like pycuda.driver.SourceModule and pycuda.gpuarray.GPUArray make CUDA programming even more convenient than with Nvidia’s C-based runtime. * Completeness. PyCUDA puts the full power of CUDA’s driver API at your disposal, if you wish. * Automatic Error Checking. All CUDA errors are automatically translated into Python exceptions. * Speed. PyCUDA’s base layer is written in C++, so all the niceties above are virtually free. * Helpful Documentation. . This package contains Python 3 modules. Package: python3-pyvkfft-cuda Description-md5: 57ea98ebe636a6b0393437bac86d8b5e Description-en: Binding to the CUDA backends of VkFFT - Python3 pyvkfft offers a simple python interface to the CUDA and OpenCL backends of VkFFT, compatible with pyCUDA, CuPy and pyOpenCL. . This package installs the CUDA backend. Package: python3-rna Description-md5: 310e3dd7fe72676202a1db1d473b4678 Description-en: ViennaRNA Python wrappers Python wrappers above ViennaRNA library. . The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures Package: r-cran-surveillance Description-md5: c0b0bb231313eb8bbfdc0a5bb8199755 Description-en: GNU R package for the Modeling and Monitoring of Epidemic Phenomena Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. . The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Höhle and Paul (2008) . A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) . . For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) and Meyer and Held (2014) . twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Höhle (2009) . twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) . A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) . Package: rar Description-md5: 649b872741c4c5402456879832c70c03 Description-en: Archiver for .rar files This is the RAR archiver from Eugene Roshal. It supports multiple volume archives and damage protection. It can also create SFX-archives. There are versions which run on DOS, Windows, FreeBSD, BSDI. . This program is shareware and you must register it after 40 days of use. Package: sift Description-md5: 7788bf12148938f8dc8e4675657ce605 Description-en: predicts if a substitution in a protein has a phenotypic effect SIFT is a sequence homology-based tool that sorts intolerant from tolerant amino acid substitutions and predicts whether an amino acid substitution in a protein will have a phenotypic effect. SIFT is based on the premise that protein evolution is correlated with protein function. Positions important for function should be conserved in an alignment of the protein family, whereas unimportant positions should appear diverse in an alignment. Package: vienna-rna Description-md5: cd4926e923e0b58439a80df654cba8f9 Description-en: RNA sequence analysis The Vienna RNA Package consists of a C code library and several stand-alone programs for the prediction and comparison of RNA secondary structures. It is developed and maintained by the group of Ivo Hofacker in Vienna. . RNA secondary structure prediction through energy minimization is the most used function in the package. It provides three kinds of dynamic programming algorithms for structure prediction: * the minimum free energy algorithm of (Zuker & Stiegler 1981) which yields a single optimal structure, * the partition function algorithm of (McCaskill 1990) which calculates base pair probabilities in the thermodynamic ensemble, and the suboptimal folding algorithm of (Wuchty et.al 1999) which generates all suboptimal structures within a given energy range of the optimal energy. . For secondary structure comparison, the package contains several measures of distance (dissimilarities) using either string alignment or tree-editing (Shapiro & Zhang 1990). Finally, is provided an algorithm to design sequences with a predefined structure (inverse folding). The RNAforester package is a tool for aligning RNA secondary structures and it's user interface integrates to those of the tools of the Vienna RNA package. Package: virtualbox Description-md5: 30f96d22c1a6ca04db16bdc1e79ad965 Description-en: x86 virtualization solution - base binaries VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the binaries for VirtualBox. Either the virtualbox-dkms or the virtualbox-source package is also required in order to compile the kernel modules needed for virtualbox. A graphical user interface for VirtualBox is provided by the package virtualbox-qt. Package: virtualbox-dkms Description-md5: 4d42f0fe51c4a92f2aed5071f84524ae Description-en: x86 virtualization solution - kernel module sources for dkms VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the source code for the virtualbox kernel module to be build with dkms. Kernel sources or headers are required to compile this module. Package: virtualbox-ext-pack Description-md5: d34299a0a1c7bf804958800947ea531c Description-en: extra capabilities for VirtualBox, downloader. VirtualBox requires an extension pack to provide support for Remote Desktop Protocol, USB 2.0, PXE booting for Intel network cards, etc. This PUEL-licensed extension pack is free for personal use. . This package downloads the extension pack from internet during install. Package: virtualbox-guest-utils Description-md5: 0c420aa026ad03a572b15c6e38dbebf7 Description-en: x86 virtualization solution - non-X11 guest utilities VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the non-X11 guest utilities for VirtualBox. These utilities are meant to be run inside the virtual machine. They provide closer integration and allow to share data through shared folders between the host system and the virtual machine. Package: virtualbox-guest-utils-hwe Description-md5: 085a4f5d1dd12642194b5145ef502845 Description-en: transitional package for virtualbox-guest-utils This is a transitional package for virtualbox-guest-utils. It can safely be removed Package: virtualbox-guest-x11 Description-md5: 3487afde0b114ec7e205b11f1dd3f7a5 Description-en: x86 virtualization solution - X11 guest utilities VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the X11 guest utilities for VirtualBox. These utilities are meant to be run inside the virtual machine. They provide closer integration and improve the interactive performance. Package: virtualbox-guest-x11-hwe Description-md5: 8c9e024d7632d31d73627e87a4c8bf2f Description-en: transitional package for virtualbox-guest-x11 This is a transitional package for virtualbox-guest-x11. It can safely be removed Package: virtualbox-qt Description-md5: 41ed29f36ba23b3ce0155f9a8efcff60 Description-en: x86 virtualization solution - Qt based user interface VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the Qt based graphical user interface for VirtualBox. Package: virtualbox-source Description-md5: 53035ede584988f3413156cb7a5dbe8b Description-en: x86 virtualization solution - kernel module source VirtualBox is a free x86 virtualization solution allowing a wide range of x86 operating systems such as Windows, DOS, BSD or Linux to run on a Linux system. . This package provides the source code for the virtualbox kernel module. The virtualbox package is also required in order to make use of these modules. Kernel sources or headers are required to compile this module. . The source is placed under /usr/src, and after decompression it can be built to produce a virtualbox-modules-_KVERS_ providing "virtualbox-modules" package. Package: libodpic5 Description-md5: ab5d684e6cf00e24207e0ddef1bfe15f Description-en: Oracle Database Programming Interface - runtime C shared library Oracle Database Programming Interface for C (ODPI-C) is an open source library of C code that simplifies access to Oracle Database for applications written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that makes applications and language interfaces easier to develop. . ODPI-C supports basic and advanced features of Oracle Database and Oracle Client. See the homepage for a list. . This package contains the C shared library needed to run programs that dynamically link to ODPI-C. Package: odpic-dev Description-md5: 49a15361421aff7972b2ab791fe2768e Description-en: Oracle Database Programming Interface - development files Oracle Database Programming Interface for C (ODPI-C) is an open source library of C code that simplifies access to Oracle Database for applications written in C or C++. It is a wrapper over Oracle Call Interface (OCI) that makes applications and language interfaces easier to develop. . ODPI-C supports basic and advanced features of Oracle Database and Oracle Client. See the homepage for a list. . This package contains the files needed to develop programs that use ODPI-C; including the headers, examples, and sample programs.