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Awesome Catalyst list

Catalyst logo

Accelerated DL & RL

Build Status CodeFactor Pipi version Docs PyPI Status

Twitter Telegram Slack Github contributors

Contents

Tutorials and Pipelines

  1. Catalyst-info – blog with a lot of useful catalyst tips
  2. Classification tutorial with Notebook API Open In Colab
  3. Segmentation tutorial with Notebook API Open In Colab
  4. Table data regression with Notebook API Open In Colab
  5. Beyond fashion: Deep Learning with Catalyst (Config API)
  6. Classification pipeline with Config API
  7. Segmentation pipeline with Config API
  8. Bert NLP-classification pipeline with Config API
  9. Notebook API tutorial for segmentation in Understanding Clouds from Satellite Images Competition
  10. Hierarchical attention for sentiment classification with visualization
  11. Pediatric bone age assessment
  12. Tutorial from Notebook API to Config API (rus)

Tools

  1. MLComp – distributed DAG framework for machine learning with UI
  2. Catalyst.RL – A Distributed Framework for Reproducible RL Research

Repositories

  1. NeurIPS 2018: AI for Prosthetics Challenge – 3rd place solution
  2. NeurIPS 2019: Learn to Move - Walk Around – starter kit
  3. NeurIPS 2019: Animal-AI Olympics - starter kit
  4. ID R&D Anti-spoofing Challenge – 14th place solution
  5. NeurIPS 2019: Recursion Cellular Image Classification - 4th place solution
  6. MICCAI 2019: Automatic Structure Segmentation for Radiotherapy Planning Challenge 2019 – 3rd place solution of Task 3: Organ-at-risk segmentation from chest CT scans and 4th place solution of Task 4: Gross Target Volume segmentation of lung cancer
  7. APTOS 2019 Blindness Detection – 7th place solution
  8. NeurIPS 2019: Learn to Move - Walk Around – 2nd place solution

Videos and Lectures

  1. Catalyst-team YouTube channel

Talks and Conferences

  1. Wokrshop: Dive into Catalyst (rus) and slides (eng) at ML-REPA
  2. Catalyst.RL – reproducible RL research framework at Stachka
  3. Catalyst.DL – reproducible DL research framework (rus) and slides (eng) at RIF
  4. Catalyst.DL – reproducible DL research framework (rus) and slides (eng) at AI-Journey
  5. Catalyst.DL – fast & reproducible DL at Datastart
  6. NeurIPS 2019: Learn to Move - Walk Around and slides (eng) at RL reading group Meetup
  7. Catalyst – accelerated DL & RL (rus) and slides (eng) at Facebook Developer Circle: Moscow | ML & AI Meetup
  8. Learn to Move - Walk Around 2nd place solution at NeurIPS competition track
  9. Open Source ML 2019 edition at Datafest.elka

Trusted by

  1. Awecom
  2. Researchers@Center for Translational Research in Neuroimaging and Data Science (TReNDS)
  3. Researchers@Emory University
  4. Evil Martians
  5. Researchers@Georgia Institute of Technology
  6. Researchers@Georgia State University
  7. Helios
  8. HPCD Lab
  9. iFarm
  10. Kinoplan
  11. Researchers@Moscow Institute of Physics and Technology
  12. Neuromation
  13. Poteha Labs
  14. Provectus
  15. Researchers@Skolkovo Institute of Science and Technology
  16. SoftConstruct
  17. Researchers@Yandex.Research

Supported by

  1. HostKey
  2. Moscow Institute of Physics and Technology

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