Displaying 1 to 14 from 14 results

rtlamr - An rtl-sdr receiver for Itron ERT compatible smart meters operating in the 900MHz ISM band.

  •    Go

Utilities often use "smart meters" to optimize their residential meter reading infrastructure. Smart meters transmit consumption information in the various ISM bands allowing utilities to simply send readers driving through neighborhoods to collect commodity consumption information. One protocol in particular: Encoder Receiver Transmitter by Itron is fairly straight forward to decode and operates in the 900MHz ISM band, well within the tunable range of inexpensive rtl-sdr dongles. This project is a software defined radio receiver for these messages. We make use of an inexpensive rtl-sdr dongle to allow users to non-invasively record and analyze the commodity consumption of their household.

libstreaming - A solution for streaming H.264, H.263, AMR, AAC using RTP on Android

  •    Java

libstreaming is an API that allows you, with only a few lines of code, to stream the camera and/or microphone of an android powered device using RTP over UDP.

opencore-amr-iOS - iOS port of opencore-amr

  •    C++

Refer to README for opencore-amr info which is from original package. Use build_ios_xcode6.sh to build. Current AppStore submission requires Xcode 7.

MediaFile - A unified reader of metadata from audio & video files.

  •    PHP

Allows you easily get meta information about any media file with unified interface. The library has no requirements of external libs or system unitilies. getID3 library is very popular and has a lot of features, but it's old and too slow.

mfem - Mirror of MFEM - a lightweight, general, scalable C++ library for finite element methods

  •    C++

Mirror of MFEM - a lightweight, general, scalable C++ library for finite element methods. Please use the official repository, https://github.com/mfem/mfem, to create issues and pull requests. See also the MFEM website:

SAMRAI - Structured Adaptive Mesh Refinement Application Infrastructure - a scalable C++ framework for block-structured AMR application development

  •    C

SAMRAI (Structured Adaptive Mesh Refinement Application Infrastructure) is an object-oriented C++ software library that enables exploration of numerical, algorithmic, parallel computing, and software issues associated with applying structured adaptive mesh refinement (SAMR) technology in large-scale parallel application development. SAMRAI provides software tools for developing SAMR applications that involve coupled physics models, sophisticated numerical solution methods, and which require high-performance parallel computing hardware. SAMRAI enables integration of SAMR technology into existing codes and simplifies the exploration of SAMR methods in new application domains. SAMRAI v. 2.13.0 is now available! The major change is that we no longer use the Boost library. This affects many interfaces in the API that used boost::shared_ptr, which has been replaced by std::shared_ptr.

amrex - AMReX: Software Framework for Block Structured AMR

  •    Fortran

AMReX: Software Framework for Block Structured AMR

Castro - An adaptive mesh, astrophysical radiation hydrodynamics simulation code

  •    Fortran

Castro is an adaptive-mesh compressible radiation hydrodynamics code for astrophysical flows. Castro supports a general equation of state, full Poisson gravity, and reactive flows, and is parallelized with MPI + OpenMP. Running this will clone the repositories and create a file castro_exports.sh which you can source or copy to your .bashrc to define the necessary environment variables.

MAESTRO - A low Mach number stellar hydrodynamics code

  •    Jupyter

Maestro solves the equations of low Mach number hydrodynamics for stratified atmospheres/stars with a general equation of state. It includes reactions and thermal diffusion and can be used on anything from a single core to 100,000s of processor cores with MPI + OpenMP.

rtpdump - Extract audio file from RTP streams in pcap format

  •    Go

This program is intended to support usual audio/video codecs used on IMS networks (VoLTE/VoWiFi). Therefore, some codecs might be limited to usual scenarios on these networks. In order to support dumping VoWiFi media some support for ESP (Encapsulating Security Payload) decryption is present.

amr-wind - AMReX-based structured wind solver

  •    C++

AMR-Wind is a massively parallel, block-structured adaptive-mesh, incompressible flow solver for wind turbine and wind farm simulations. The codebase is a wind-focused fork of incflo. The solver is built on top of the AMReX library. AMReX library provides the mesh data structures, mesh adaptivity, as well as the linear solvers used for solving the governing equations. AMR-Wind is actively developed and maintained by a dedicated multi-institutional team from Lawrence Berkeley National Laboratory, National Renewable Energy Laboratory, and Sandia National Laboratories. be able to leverage the high-performance leadership class computating facilities available at DOE national laboratories.

asap - A scalable bacterial genome assembly, annotation and analysis pipeline

  •    Groovy

ASA³P is an automatic and highly scalable assembly, annotation and higher-level analyses pipeline for closely related bacterial isolates. ASA³P is a fully automatic, locally executable and scalable assembly, annotation and higher-level analysis pipeline creating results in standard bioinformatics file formats as well as sophisticated HTML5 documents. Its main purpose is the automatic processing of NGS WGS data of multiple closely related isolates, thus transforming raw reads into assembled and annotated genomes and finally gathering as much information on every single bacterial genome as possible. Per-isolate analyses are complemented by comparative insights. Therefore, the pipeline incorporates many best-in-class open source bioinformatics tools and thus minimizes the burden of ever-repeating tasks. Envisaged as a preprocessing tool it provides comprehensive insights as well as a general overview and comparison of analysed genomes along with all necessary result files for subsequent deeper analyses. All results are presented via modern HTML5 documents comprising interactive visualizations.