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: 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: 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: 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) <doi:10.1016/j.csda.2008.02.015>. 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) <doi:10.18637/jss.v070.i10>.
 .
 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)
 <doi:10.1002/sim.4177> and Meyer and Held (2014)
 <doi:10.1214/14-AOAS743>. 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) <doi:10.1002/bimj.200900050>.
 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)
 <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the
 implemented space-time modeling frameworks for epidemic phenomena is
 given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

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: 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.

