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PPAML-software.json
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[
{
"DARPA Program": "PPAML",
"Program Teams": [
"Applied Communication Sciences"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "DREtool 1.0 (DILEGENT team)",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "Probability density ratio estimation tool. Given two samples of data, provides estimate of the density ratio between corresponding probability densities. To be used as the core module for other developed applications, such as conditional probability estimation.",
"License": [
"Mathworks Matlab"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Machine Learning"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"BAE Systems"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Prob",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "Probabilistic programming language built within Racket system, featuring intentional contracts.",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"BAE Systems"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "CP MATLAB",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "MATLAB solutions to first 3 TA1 challenge problems.",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"BAE Systems"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "CP Prob",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "Prob solutions to first 3 TA1 challenge problems.",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Charles River Analytics"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Figaro",
"Internal Link": "",
"External Link": "https://github.com/p2t2/figaro",
"Public Code Repo": "https://github.com/p2t2/figaro.git",
"Instructional Material": "",
"Description": "Figaro PPS",
"License": [
"BSDv3"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Charles River Analytics"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "BLOG",
"Internal Link": "",
"External Link": "https://sites.google.com/site/bloginference/",
"Public Code Repo": "https://sites.google.com/site/bloginference/download/blog-0.8-bin.zip?attredirects=0&d=1",
"Instructional Material": "",
"Description": "BLOG PPS",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Charles River Analytics"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "APPRIL",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "Performance Optimizer",
"License": [
"BSDv3"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Charles River Analytics"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PRM++ ",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "PRM PPS",
"License": [
"BSDv3"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Galois, Inc."
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PPAML Tracer",
"Internal Link": "",
"External Link": "https://github.com/GaloisInc/ppaml-tracer",
"Public Code Repo": "https://github.com/GaloisInc/ppaml-tracer.git",
"Instructional Material": "",
"Description": "PPAML Tracer is a lightweight tracing library designed for explicit instrumentation of generated code.",
"License": [
"BSDv3"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Domain Experts"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Galois, Inc."
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PPAML Evaluation Tools",
"Internal Link": "",
"External Link": "https://github.com/GaloisInc/ppaml-eval-tools",
"Public Code Repo": "https://github.com/GaloisInc/ppaml-eval-tools.git",
"Instructional Material": "",
"Description": "The PPAML client tools are a set of libraries and scripts that allow PPAML TA2-4 teams to evaluate their own probabilistic programming systems in the same way that we will at Galois.",
"License": [
"BSDv3"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Domain Experts"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Galois, Inc."
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "PPAML VREP Automobile Plugin",
"Internal Link": "",
"External Link": "https://github.com/GaloisInc/ppaml-vrep-automobile-plugin",
"Public Code Repo": "https://github.com/GaloisInc/ppaml-vrep-automobile-plugin.git",
"Instructional Material": "",
"Description": "This package provides a data collection plugin for the V-REP robotics simulator http://coppeliarobotics.com/. The plugin is targeted at data collection following the model described at http://prism2.mem.drexel.edu/~vefa/courses/SLAM/nebotJournal.pdf, but it may be useful for other projects as well.",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Domain Experts"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Gamelan"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Dimple: Java and Matlab libraries for probabilistic inference",
"Internal Link": "",
"External Link": "http://dimple.probprog.org/",
"Public Code Repo": "https://github.com/AnalogDevicesLyricLabs/dimple.git",
"Instructional Material": "",
"Description": "Dimple Source and Demos with small datasets.",
"License": [
"ALv2"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Gamelan"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Chimple, a Probabilistic Programming Java API",
"Internal Link": "",
"External Link": "https://github.com/AnalogDevicesLyricLabs/chimple",
"Public Code Repo": "https://github.com/AnalogDevicesLyricLabs/chimple.git",
"Instructional Material": "",
"Description": "Chimple Source - a lightweight trace MH implementation in Java.",
"License": [
"ALv2"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Gamelan"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Team Challenge Problem on Agile/Amortized Inference",
"Internal Link": "",
"External Link": "",
"Public Code Repo": "Not Ready for Release",
"Instructional Material": "",
"Description": "Agile/Amortized Inference Team Challenge Problem.",
"License": [
"TBD"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Gamelan"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "Phase transitions in BP",
"Internal Link": "",
"External Link": "https://github.com/gamelanlabs/phase-change",
"Public Code Repo": "https://github.com/gamelanlabs/phase-change.git",
"Instructional Material": "",
"Description": "Demonstrating phase transitions in belief propagation convergence in the stochastic block model.",
"License": [
"ALv2"
],
"Languages": [
""
],
"Platform Requirements": [
""
],
"Dependent modules": [
""
],
"Dependent module URLs": [
""
],
"Component modules": [
""
],
"Component module URLs": [
""
],
"Industry": [
""
],
"Functionality": [
""
],
"Categories": [
"Probabilistic Programming",
"Inference Engine"
],
"New Date": "20140818",
"Update Date": ""
},
{
"DARPA Program": "PPAML",
"Program Teams": [
"Gamelan"
],
"Contributors": [
""
],
"Sub-contractors": [
""
],
"Software": "HMM implemented with multiple solvers",
"Internal Link": "",
"External Link": "https://github.com/gamelanlabs/HMM-implementations",
"Public Code Repo": "https://github.com/gamelanlabs/HMM-implementations.git",
"Instructional Material": "",
"Description": "HMM demos for dimple and chimple.",
"License": [
"ALv2"
],
"Languages": [
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