Machine Learning Communities: Q4 ‘21 highlights and achievements

Posted by HyeJung Lee, DevRel Community Manager and Soonson Kwon, DevRel Program Manager

Image shows graphic illustrating Q4 success. Includes an arrow pointing to a group of stick figures

Let’s explore highlights and achievements of vast Google Machine Learning communities over the last quarter of last year! We are excited and grateful about all the activities that the communities across the globe do.

Image of the Jax logo  next to images of animals and objects. The animals and objects are labelled Predictions

India-based Aakash Nain has completed the TF-Jax tutorial series with Part 9 (Autodiff in JAX) and Part 10 (Pytrees in JAX). Aakash also started a new tutorial series to learn about the existing methods of building models in JAX. The first tutorial Building models in JAX - Part1 (Stax) is released.

Christmas tree made of code next to words that say Advent of Code

On Dec 12th, ML GDE Paolo Galeone started to solve puzzles of the Advent of Code series using “pure TensorFlow” (without any other library). His solution has been updated in a series of 12 on his blog. He explained how he designed the solutions, how he implemented them, and - when needed - focused on some TensorFlow features not widely used. (Day 1, Day 2, Day 3, Day 4, Day 5, Day 6, Day 7, Day 8, Day 9, Day 10, Day 11, Day 12, Wrap up)

Detailed  diagram of batch prediction/evaluation pipeline leading to model training pipeline

ML GDE Chansung Park (Korea) & Sayak Paul (India) published an “Continuous Adaptation for Machine Learning System to Data Changes” article on TensorFlow blog. They presented a project that implements a workflow combining batch prediction and model evaluation for continuous evaluation retraining In order to capture changes in the data.

Image of Elyes Manais' Google Cloud Certification

ML GDE Elyes Manai from Tunisia wrote an article on GDE blog about his experience on the Google Cloud ML Engineer certification covering guide to certificate and tips.

Image collage of medical staff wearing PPE

TFUG organizer Ali Mustufa Shaikh and Rishit Dagli released “CPPE-5: Medical Personal Protective Equipment Dataset” (paper, code). This paper got featured on Google Research TRC's publication section on January 5, 2022.

Image of a Google slide with text reading Ok, but what are transformers?

TFUG New York hosted a series of events in Dec. End-to-End NLP Workshop with TensorFlow. Brief introduction to the Kaggle competition for Great Barrier Reef challenge by Google(Slide). TF idea for ML Projects with GCP.

Left side of image shows a screenshot  from the Google for Startups Accelerator:MENA page. Right side of mage shows man with glasses holding a piece of paper in front of a wall that has signs on it that say hashtag creativity and hashtag technology

ML GDE Elyes Manai from Tunisia wrote an article “The ability to change people’s lives and leave one’s mark“. Are you facing difficulties growing in constrained environments? And do you think you're not a first-class student and you don't have connections in the industry? Then, check out Elyes’s story. He shared how Google helped him accelerate his impact.

Image shows a graph with data. Labels are on the side to denote wing, body, and tail

ML GDE Sayak Paul (India) and Soumik Rakshit’s Point Cloud Segmentation implemented the PointNet architecture for segmenting 3D point clouds using the ShapeNetCore dataset with TensorFlow 2.x. It is a winner of #TFCommunitySpotlight too.

Screenshot from a paper titled What Should Not be Contrastive in Contrastive Learning

Annotated Research Papers by ML GDE Aakash Kumar Nain (India) is an effort to make papers more accessible to a wider community. It also supports the web version and includes papers from Google Research and etc. This repository is popular enough to have a +2k star and a +200 fork.

Graphic wih text that reads A DevLibrary video interview wth Shai Reznik

Interview series of DevLibrary contributors : Meet the ML GDE Shai Reznik (Israel) and Doug Duhaime. And check out what they built with Google technology and what made them passionate.

Image of a TensorFlow 2.0 Global Docs Sprint event invite with Vikram Tiwari

ML DevFest 2021 by GDG Cloud San Francisco. There are 5 sessions that walk you through framing ML problems, researching ML, building proofs of concepts using existing ML APIs and models, building ML pipelines and etc. ML GDE Vikram Tiwari (USA) presented Vertex, ML Ops and GCP.

The words using Machine Learning for COVID19 helpline with Krupal Modi next to a picture of a man holding a microphone

Krupal Modi (India)’s blog article and #IamaGDE video shares how he’s been leading the machine learning initiatives at Haptik, a conversational AI platform, and how the team paired with the Indian Government and WhatsApp to build a COVID-19 helpline.

Hashtag I am a GDE next to a photo of a woman with sunglasses on her head

Leigh Johnson from USA is the founder of Print Nanny, an automated failure detection system and monitoring system for 3D printers. Meet Leigh in this blog and video!