Open Source Directions hosted by OpenTeams episodes:

• January 24, 2020Episode 35: IBM Lale

  Lale is a Python library for semi-automated data science. Lale makes it easy to

  automatically select algorithms and tune hyperparameters of pipelines that are

  compatible with scikit-learn, in a type-safe fashion. If you are a data scientist

  who wants to experiment with automated machine learning, this library is for you!

  Lale adds value beyond scikit-learn along three dimensions: automation,

  correctness checks, and interoperability. For automation, Lale provides

  a consistent high-level interface to existing pipeline search tools including

  GridSearchCV, SMAC, and Hyperopt. For correctness checks, Lale uses JSON Schema

  to catch mistakes when there is a mismatch between hyperparameters and their type,

  or between data and operators. And for interoperability, Lale has a growing library

  of transformers and estimators from popular libraries such as scikit-learn, XGBoost,

  PyTorch etc. Lale can be installed just like any other Python package and can be

  edited with off-the-shelf Python tools such as Jupyter notebooks.

  ...more

  

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• January 10, 2020Episode 34: Stumpy

  STUMPY is a powerful and scalable library that efficiently computes something called

  the matrix profile, which can be used for a variety of

  time series data mining tasks such as: pattern/motif

  (approximately repeated subsequences within a longer time series) discovery,

  anomaly/novelty (discord) discovery,

  shapelet discovery,

  semantic segmentation,

  density estimation,

  time series chains (temporally ordered set of subsequence patterns),

  and more!

  ...more

  

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• December 06, 2019Episode 28: Matplotlib

  Matplotlib is a Python 2D plotting library which produces publication quality

  figures in a variety of hardcopy formats and interactive environments across

  platforms. Matplotlib can be used in Python scripts, the Python and IPython shells,

  the Jupyter notebook, web application servers, and four graphical user interface toolkits.

  ...more

  

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• November 22, 2019Episode 33: stdlib

  stdlib ("standard lib") is a standard library for JavaScript and Node.js, with an

  emphasis on numerical and scientific computing applications. The library provides

  a collection of robust, high performance libraries for mathematics, statistics,

  data processing, streams, and more and includes many of the utilities you would

  expect from a standard library.

  ...more

  

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• November 08, 2019Episode 32: Voila

  Voilà turns Jupyter notebooks into standalone web applications.

  Unlike the usual HTML-converted notebooks, each user connecting to the Voilà tornado

  application gets a dedicated Jupyter kernel which can execute the callbacks to changes

  in Jupyter interactive widgets.

  By default, Voilà disallows execute requests from the front-end, preventing execution

  of arbitrary code. By default, Voilà runs with the strip_source option, which strips out

  the input cells from the rendered notebook.

  ...more

  

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• October 25, 2019Episode 31: Econ-ARK

  The Econ-ARK project provides open-source toolkits for researchers

  trying to understand how economic and social outcomes result from

  the actions of heterogeneous individuals.

  The primary goals of the project are to make entry into the world

  of such modeling easy; to accelerate the development of this kind

  of modeling for policy-making and academic research; and to increase

  the openness, replicability, and interoperability of modeling tools.

  ...more

  

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• October 11, 2019Episode 30: UMAP

  Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction

  technique that can be used for visualisation similarly to t-SNE, but also for

  general non-linear dimension reduction. The algorithm is founded on three assumptions

  about the data:

  1. The data is uniformly distributed on a Riemannian manifold;

  2. The Riemannian metric is locally constant (or can be approximated as such);

  3. The manifold is locally connected.

  From these assumptions it is possible to model the manifold with a fuzzy topological

  structure. The embedding is found by searching for a low dimensional projection

  of the data that has the closest possible equivalent fuzzy topological structure.

  ...more

  

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• September 27, 2019Episode 29: Panel

  Panel provides tools for easily composing widgets, plots, tables,

  and other viewable objects and controls into control panels, apps,

  and dashboards. Panel works with visualizations from Bokeh, Matplotlib,

  HoloViews, and other Python plotting libraries, making them instantly

  viewable either individually or when combined with interactive widgets

  that control them. Panel works equally well in Jupyter Notebooks,

  for creating quick data-exploration tools, or as standalone deployed

  apps and dashboards, and allows you to easily switch between those

  contexts as needed.

  ...more

  

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• August 23, 2019Episode 27: OpenTeams

  OpenTeams brings together organizations using open source software

  with creators and maintainers of the software to facilitate and

  grow funding opportunities.

  ...more

  

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• August 09, 2019Episode 26: Vega-Lite

  Vega is a declarative format for creating, saving, and sharing

  visualization designs. With Vega, visualizations are described

  in JSON, and generate interactive views using either HTML5

  Canvas or SVG.

  ...more

  

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