Package: 7zip-rar
Description-md5: cc6069b72985dc5fdf1be54c87fbc9ae
Description-en: RAR plugin for 7-Zip
 7-Zip is a file archiver with a high compression ratio.
 .
 This package provides a RAR codec module for 7zip to make 7z command able
 to extract RAR files.

Package: alicevision
Description-md5: 24f74f2adb49a14d9ddb0dead18f6afd
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the executable tools

Package: assaultcube
Description-md5: 7576f391baa8701ed9ad64162252916a
Description-en: realistic first-person-shooter
 AssaultCube, formerly ActionCube, is a first-person-shooter based on the
 game Cube.
 .
 Set in a realistic looking environment, as far as that's possible with this
 engine, while gameplay stays fast and arcade. This game is all about team
 oriented multiplayer fun.
 .
 The game data required to play this game will be downloaded automatically
 when this package is installed.

Package: autodir
Description-md5: 0b6913d4b30fa8f1270054260e535bdb
Description-en: Automatically creates home and group directories for LDAP/NIS/SQL/local accounts
 A modular and thread-enabled tool to create and/or mounting and managing
 automagically and transparently user/group home directories, on demand.
 .
 It can work with any authentication framework (e.g. system files, NIS, LDAP or SQL)
 and does not require PAM, which is a required feature for session-less service
 such as smtp servers.
 .
 Automounter version 4 (autofs4) has to be enabled when compiling the kernel.
 Debian packaged kernels have it enabled as module.

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: libalicevision-data
Description-md5: ddf3277bd12a96a8873eb5b919423593
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the data files

Package: libalicevision-dev
Description-md5: 7c903fbdb1d3a9427fa77e32ec45b298
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the development files library

Package: libalicevision3
Description-md5: bf536eaaaeccf9e2157dcbeb259107be
Description-en: Photogrammetric Computer Vision Framework
 AliceVision aims to provide strong software basis with state-of-the-art
 computer vision algorithms that can be tested, analyzed and reused. The project
 is a result of collaboration between academia and industry to provide
 cutting-edge algorithms with the robustness and the quality required for
 production usage.
 .
 This package provides the shared library

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: 2e6b39f5bb9691de513fdda76a7a988c
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: 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: 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: 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: 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.

