/awesome-haskell-ml

📚 - Resources for Machine Learning and Haskell

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Awesome Haskell Machine Learning

A collection of awesome Haskell-Machine-Learning residencies, workshops/schools, labs, FOSS projects, and fellowships. Inspired by the awesome projects, but without a focus on code.

Conferences:

Name Location Submission Season Event Season Topics Latest URL
NIPS AI nips.cc
ICML AI/ML 2017.icml.cc
KDD AI/ML kdd.org
ICFP FP/DS icfpconference.org
AMAI US Bi-annual AI/CT rutcor.rutgers.edu
AAAI US Q1 AI aaai.org
IAAI US Q1 AI aaai.org
ICPR US Q4 AI icpr2016.org
Haskell Exchange Europe Q4 FP skillsmatter.com
Strange Loop St. Louis Sept FP/All thestrangeloop.com
YOW! Sydney, AU Q4 FP sydney.yowconference.com.au
Lambda.world Europe Q4 FP lambda.world
CodeMesh Europe Q4 FP codemesh.io
EMNLP Europe Q3 NLP emnlp2017.net
ACL Melbourne, AU Q3 NLP wikicfp.com
O'reilly AI Conf NY/SF/CN/UK Q2/Q2/Q3/Q4 Industry conferences.oreilly.com
MLconf SF Q4 Industry mlconf.com
RE-WORK SF Q1 Industry re-work.co
Applied Category Theory Netherlands Q1 Industry appliedcategorytheory.org

Workshops/Schools:

Name Organization Location Duration Dates Focus Link
PPAML Galois Virginia, USA 1w July-August Probabilistic Programming ppaml.galois.com
Recurse Recurse Center NY, USA 12w Rolling None recurse.com
Adjunct School Applied Category Theory Netherlands 5d November Category Theory appliedcategorytheory.org

Labs:

Name Location SE-friendly? Functional-friendly? Remote? Link
Future of Life Cambridge, MA Y ? ? futureoflife.org
MIT-IBM Watson AI Lab Cambridge, MA ? ? ? mitibmwatsonailab.mit.edu
OpenAI Berkeley, CA Y ? ? openai.com
MIRI Berkeley, CA Y Y ? intelligence.org
Data Science Center UC Riverside N Y N datascience.ucr.edu
Vicarious San Francisco Y N ? vicarious.com

Fellowships:

These are more along the lines of generic fellowships in AI or FP which could be ammenable to the mix of the two:

Name When $$$ Specialty Link
AI-grant Spring, Annually 2,500 AI aigrant.org
Berkman ? ? AI/Society/Law cyber.harvard.edu
Knight ? 0 AI/Multidisiplinary knightfoundation.org

Residencies:

empty at the moment

Researchers:

Name Location personal website Blogs? last-update Other Links Source
Hal Daume III University Maryland umiacs.umd.edu N? 2017-09-13 SO
Andrew Tulloch Facebook AI Research tullo.ch N? github
Ron Alford MITRE (from UMD) volus.net N? 2016-04-12 haskell-cafe
Justin Le Chapman University blog.jle.im Y everywhere / backprop
Mike Izbicki UC Riverside izbicki.me Y 2015-07-21 everywhere / hlearn
Grzegorz Chrupała Tilburg University grzegorz.chrupala.me N? 2017-11-08 [hackage][gc-hackage] gitter

Bloggers:

Any bloggers not captured in the Researchers section (can be active or inactive)

Companies:

Name Location Specialty FOSS projects link
Sentenai Boston, MA, USA Reinforcement Learning, Deep learning reinforce sentenai.com
Ambiata Surry Hills, AU ML, Deep learning grenade ambiata.com
Takt San Francisco, CA, USA ? tensorflow-hs takt.com
Silverpond Melbourne, AU CV, Deep learning silverpond.com.au

Papers/Links to keep in mind:

  • "Algebraic classifiers: a generic approach to fast cross-validation, online training, and parallel training" - Michael Izbicki. ICML 2013. paper
  • AI section of the haskell wiki (includes people, projects, and thoughts from the old AI Strike Force): wiki.haskell.org/AI
  • "Translating HTNs to PDDL: A Small Amount of Domain Knowledge Can Go a Long Way" - Ronald Wayne Alford, Ugur Kuter, Dana Nau. IJCAI 2009. paper, vanity

License

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To the extent possible under law, Sam Stites (maintainer) has waived all copyright and related or neighboring rights to this work.