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<!-- index.html -->
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="title" content="Machine Learning Bazaar">
<meta name="description" content="Display dataset library for DAI-Lab">
<meta name="keywords" content="mit, dai, open, source, open source, dai-lab, dataset">
<meta name="og:title" content="Machine Learning Bazaar">
<meta name="og:url" content="/">
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<meta name="og:description" content="Display dataset library for DAI-Lab">
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<meta name="MIT:title" content="Machine Learning Bazaar" />
<meta name="MIT:description" content="Display dataset library for DAI-Lab" />
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<!-- Main CSS -->
<link rel="stylesheet" href="/css/main.css"/>
</head>
<body>
<div class="home-header">
<div class="header-logo">
<a href="/" class="home-page-url logo-mit"><img src="/assets/mit-logo.png" /></a>
<a href="/" class="home-page-url logo-dai"><img src="/assets/logo-2.png" /></a>
</div>
<div class="header-information">
<div class="information-content">
<h1>Machine Learning Bazaar</h1>
<p>Explore solutions for thousands of machine learning tasks generated using automated data science systems.</p>
</div>
</div>
</div>
<div class="home-dataset">
<div class="about-section">
<h1>About ML Bazaar</h1>
<h2>What is Machine learning bazaar?</h2>
<p>MIT Data to AI Lab has created a number of open source ML libraries. These libraries have: primitives, templates, pipelines, datasets, tuners, acquisition functions, selectors and automl components - a bazaar of sorts that incorporates decades of work in machine learning.</p>
<h2>What is this website showing?</h2>
<p>We are presenting the best so far end-to-end machine learning solutions generated by our automated system for about 453 datasets and the corresponding ML tasks.</p>
<h2>How many tasks have you covered?</h2>
<p>We cover 18 different machine learning tasks ranging from simple single table classification, to image regression to vertex nomination.</p>
</div>
<div class="faq-section">
<h1>FAQs</h1>
<h2>How can I learn more about ML Bazaar?</h2>
<p>We are releasing a paper soon. It will describe primitives, pipelines and primitives. Stay tuned and we will update here.</p>
<h2>What open source libraries are you releasing?</h2>
<p>We are releasing a primitive library - <a href="https://github.com/HDI-Project/MLPrimitives" target="_blank">MLPrimitives</a>, a pipeline execution library - <a href="https://github.com/HDI-Project/MLBlocks" target="_blank">MLBlocks</a>, and a collection of techniques typically used for AutoML in a library called <a href="https://github.com/HDI-Project/BTB" target="_blank">BTB</a>.</p>
<h2>How can I programmatically explore datasets, pipelines, templates?</h2>
<p>You can programmatically access the datasets (organized as D3M format) and about 3.1 million pipelines via <a href="https://github.com/HDI-Project/piex" target="_blank">Pipeline explorer library</a>. We are adding millions more.</p>
<h2>How can I contribute?</h2>
<p>We will be opening up ability to contribute to all our libraries. You would be able to contribute a primitive, suggest a pipeline, suggest hyperparameters or their search ranges. Once you follow the steps and the code is validated, we will run the experiments and return results. If your pipeline does better, we will update the website here and credit you/your team with it.</p>
<h2>Is this just an academic exercise?</h2>
<p>We are motivated to provide a place where any practitioner can go and find validated competitive templates for their machine learning task.</p>
</div>
</div>
<div class="home-filter">
<div class="filter-content">
<div class="row-form tab-content current" id="form-filter">
<div class="form-inputs">
<!-- <div class="left-column">
<div class="form-group">
<label class="form-label">Name</label>
<input type="text" autocomplete="off" name="name" class="form-control search-name" placeholder="Search by data name" />
</div>
<div class="form-group">
<label class="form-label">Data Type</label>
<select name="datatype" class="form-control search-datatype">
<option value="">Please choose data type</option>
<option value="image">image</option>
<option value="single_table">single_table</option>
<option value="text">text</option>
<option value="multi_table">multi_table</option>
<option value="graph">graph</option>
<option value="timeseries">timeseries</option>
</select>
</div>
</div> -->
<!-- <div class="right-column">
<div class="form-group">
<label class="form-label">Domain</label>
<select name="domain" class="form-control search-domain">
<option value="">Please choose a domain</option>
<option value="figure-eight.com">figure-eight.com</option>
</select>
</div>
<div class="form-group">
<label class="form-label">Task Type</label>
<select name="task_type" class="form-control search-tasktype">
<option value="">Please choose Task Type</option>
<option value="classification">classification</option>
<option value="regression">regression</option>
<option value="graph_matching">graph_matching</option>
<option value="link_prediction">link_prediction</option>
<option value="collaborative_filtering">collaborative_filtering</option>
<option value="community_detection">community_detection</option>
<option value="time_series_forecasting">time_series_forecasting</option>
<option value="vertex_nomination">vertex_nomination</option>
</select>
</div>
</div> -->
<div class="filter-group datatype-group">
<ul class="datatype-ul">
<li data-value="matrix">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/1-user-item-matrix.png" /></span>
<span class="f-title">User-item matrix</span>
</a>
</li>
<li data-value="text">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/2-text.png" /></span>
<span class="f-title">Text</span>
</a>
</li>
<li data-value="single_table">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/3-single-table.png" /></span>
<span class="f-title">Single table</span>
</a>
</li>
<li data-value="timeseries">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/4-time-series.png" /></span>
<span class="f-title">Time series</span>
</a>
</li>
<li data-value="multi_table">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/5-relational.png" /></span>
<span class="f-title">Relational</span>
</a>
</li>
<li data-value="graph">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/6-graph.png" /></span>
<span class="f-title">Graph</span>
</a>
</li>
<li data-value="image">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/7-image.png" /></span>
<span class="f-title">Image</span>
</a>
</li>
</ul>
</div>
<div class="filter-group tasktype-group">
<ul class="tasktype-ul">
<li data-value="community_detection">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/8-community-detection.png" /></span>
<span class="f-title">Community detection</span>
</a>
</li>
<li data-value="vertex_nomination">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/9-anomaly-detection.png" /></span>
<span class="f-title">Anomaly detection</span>
</a>
</li>
<li data-value="graph_matching">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/10-graph-matching.png" /></span>
<span class="f-title">Graph matching</span>
</a>
</li>
<li data-value="time_series_forecasting">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/11-forecasting.png" /></span>
<span class="f-title">Forecasting</span>
</a>
</li>
<li data-value="regression">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/12-regression.png" /></span>
<span class="f-title">Regression</span>
</a>
</li>
<li data-value="classification">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/13-classification.png" /></span>
<span class="f-title">Classification</span>
</a>
</li>
<li data-value="link_prediction">
<a href="javascript:void(0)">
<span class="img-block"><img src="/assets/filter-icons/14-link-prediction.png" /></span>
<span class="f-title">Link prediction</span>
</a>
</li>
</ul>
</div>
<div class="search-name-group">
<div class="search-bar">
<input type="text" autocomplete="off" name="name" class="search-box search-name" placeholder="Search by data name" />
<span class="Icon icon--search">
<img src="/assets/icon-search.svg">
</span>
</div>
</div>
</div>
<!-- <div class="form-button">
<a onclick="filterSubmit()" class="btn-submit btn-filter-submit"></a>
</div> -->
</div>
<!-- <div class="row-form tab-content" id="form-search">
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<label class="form-label">Name</label>
<input type="text" autocomplete="off" name="name" class="form-control search-box" placeholder="Search by data name" />
</div>
</div>
</div>
<div class="form-button">
<a onclick="searchSubmit()" class="btn-submit btn-search-submit"></a>
</div>
</div> -->
</div>
</div>
<div class="home-dataset container">
<!-- Container for no results text -->
<div class="dataset-list no-results-container"></div>
<div class="dataset-list row all-dataset"></div>
<!-- <div class="load-more-block" id="load-more">
<a href="#" id="load-more-button">Load More</a>
</div> -->
<script type="text/javascript">
let allDataset = [];
allDataset.push({
dataset_path: "/dataset/124-120-mnist",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "124_120_mnist",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.9702334186456246",
task_type: "classification",
data_type: "image",
time: "2018-10-25T04:17:29.530000"
})
allDataset.push({
dataset_path: "/dataset/124-138-cifar100",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "124_138_cifar100",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.17987999999999998",
task_type: "classification",
data_type: "image",
time: "2018-10-24T22:21:20.209000"
})
allDataset.push({
dataset_path: "/dataset/124-174-cifar10",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "124_174_cifar10",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.47992",
task_type: "classification",
data_type: "image",
time: "2018-10-24T21:56:28.369000"
})
allDataset.push({
dataset_path: "/dataset/124-188-usps",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "124_188_usps",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.9764089716354356",
task_type: "classification",
data_type: "image",
time: "2018-10-31T05:33:35.092000"
})
allDataset.push({
dataset_path: "/dataset/1491-one-hundred-plants-margin",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "1491_one_hundred_plants_margin",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.7790904761904761",
task_type: "classification",
data_type: "single_table",
time: "2018-10-25T05:55:55.840000"
})
allDataset.push({
dataset_path: "/dataset/1567-poker-hand",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "1567_poker_hand",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.449261657133072",
task_type: "classification",
data_type: "single_table",
time: "2018-10-25T09:36:50.059000"
})
allDataset.push({
dataset_path: "/dataset/185-baseball",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "185_baseball",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "0.6921128080904511",
task_type: "classification",
data_type: "single_table",
time: "2018-10-25T01:19:21.426000"
})
allDataset.push({
dataset_path: "/dataset/196-autoMpg",
datasetID: "weather-agg-DFE_dataset_TEST",
datasetName: "196_autoMpg",
description: `Here, contributors were asked to grade the sentiment of a particular tweet relating to the weather.`,
source: "Figure Eight",
sourceURI: "https://www.figure-eight.com/data-for-everyone/",
score: "8.419079389879517",
task_type: "regression",
data_type: "single_table",
time: "2018-10-24T21:59:20.941000"
})
allDataset.push({
dataset_path: "/dataset/22-handgeometry",
datasetID: "weather-agg-DFE_dataset_TEST",
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