Skip to content
Menu
PyCon HK
  • Schedule
    • 2023
    • 2022
    • 2021
    • 2020 Fall
    • 2020 Spring
    • 2018
    • 2017
    • 2016
    • 2015
  • Sponsors
    • 2023
    • 2022
    • 2021
    • 2020 Fall
    • 2018
    • 2017
    • 2016
    • 2015
  • Organizers
    • Organizers
    • Volunteers
    • Booths
  • Supporting Organizations
  • Code of Conduct
    • Procedures for Reporting Incidents
    • Enforcement Procedures
  • About
    • PyCon HK
    • Conference Highlights
    • 2023
    • 2022
    • 2021
    • 2020 Fall
    • 2020 Spring
    • 2018
    • 2017
      • Photos
      • Videos
    • 2016
      • Photos
      • Videos
    • 2015
      • Photos
PyCon HK

Plug into JAX frameworks

Posted on October 26, 2020September 18, 2024

JAX is a library similar to NumPy, redesigned by Google for GPUs and TPUs. A wave of new ML frameworks, based on JAX, are looking for a chance to become an alternative to PyTorch and TensorFlow. In this session, I try out three JAX frameworks (Objax, Flax, and Elegy), showing the steps to solve Kaggle’s flower classification challenge with each one.

Language: English
Date & Time: 7 November 2020, Saturday 10:45-11:15
Speaker: Nick Doiron

Nick is a Software Engineer at the MGGG Redistricting Lab. Previously he worked with One Laptop per Child, McKinsey, Code for America, and the Museum of Modern Art (NYC).

Website / Blog: https://mapmeld.com/ml/
Twitter: https://twitter.com/mapmeld
LinkedIn: https://www.linkedin.com/in/nickdoiron/

  • Instagram
  • LinkedIn
  • Facebook
  • Twitter
  • YouTube

Archives

©2025 PyCon HK | Powered by SuperbThemes!
← https://live.pycon.my: What I have learned in building a production website that serves PyCon APAC 2020 within 4 days ← Miniframes: Developing Embedded Graphical User Interfaces using LCDs and Microcontroller via Micropython User