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Posted by HyeJung Lee, DevRel Neighborhood Supervisor and Soonson Kwon, DevRel Program Supervisor
Let’s discover highlights and achievements of huge Google Machine Studying communities during the last quarter of final yr! We’re excited and grateful about all of the actions that the communities throughout the globe do.
India-based Aakash Nain has accomplished the TF-Jax tutorial collection with Half 9 (Autodiff in JAX) and Half 10 (Pytrees in JAX). Aakash additionally began a brand new tutorial collection to study concerning the present strategies of constructing fashions in JAX. The primary tutorial Constructing fashions in JAX – Part1 (Stax) is launched.
On Dec twelfth, ML GDE Paolo Galeone began to resolve puzzles of the Creation of Code collection utilizing “pure TensorFlow” (with out another library). His answer has been up to date in a collection of 12 on his weblog. He defined how he designed the options, how he applied them, and – when wanted – targeted on some TensorFlow options not extensively 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)
ML GDE Chansung Park (Korea) & Sayak Paul (India) revealed an “Steady Adaptation for Machine Studying System to Knowledge Modifications” article on TensorFlow weblog. They introduced a challenge that implements a workflow combining batch prediction and mannequin analysis for steady analysis retraining So as to seize adjustments within the information.
ML GDE Elyes Manai from Tunisia wrote an article on GDE weblog about his expertise on the Google Cloud ML Engineer certification masking information to certificates and ideas.
TFUG organizer Ali Mustufa Shaikh and Rishit Dagli launched “CPPE-5: Medical Private Protecting Gear Dataset” (paper, code). This paper obtained featured on Google Analysis TRC’s publication part on January 5, 2022.
TFUG New York hosted a collection of occasions in Dec. Finish-to-Finish NLP Workshop with TensorFlow. Temporary introduction to the Kaggle competitors for Nice Barrier Reef problem by Google(Slide). TF concept for ML Tasks with GCP.
ML GDE Elyes Manai from Tunisia wrote an article “The power to vary individuals’s lives and depart one’s mark“. Are you dealing with difficulties rising in constrained environments? And do you suppose you are not a first-class pupil and you do not have connections within the business? Then, take a look at Elyes’s story. He shared how Google helped him speed up his influence.
ML GDE Sayak Paul (India) and Soumik Rakshit’s Level Cloud Segmentation applied the PointNet structure for segmenting 3D level clouds utilizing the ShapeNetCore dataset with TensorFlow 2.x. It’s a winner of #TFCommunitySpotlight too.
Annotated Analysis Papers by ML GDE Aakash Kumar Nain (India) is an effort to make papers extra accessible to a wider neighborhood. It additionally helps the internet model and contains papers from Google Analysis and and so forth. This repository is in style sufficient to have a +2k star and a +200 fork.
Interview collection of DevLibrary contributors : Meet the ML GDE Shai Reznik (Israel) and Doug Duhaime. And take a look at what they constructed with Google expertise and what made them passionate.
ML DevFest 2021 by GDG Cloud San Francisco. There are 5 periods that stroll you thru framing ML issues, researching ML, constructing proofs of ideas utilizing present ML APIs and fashions, constructing ML pipelines and and so forth. ML GDE Vikram Tiwari (USA) introduced Vertex, ML Ops and GCP.
Krupal Modi (India)’s weblog article and #IamaGDE video shares how he’s been main the machine studying initiatives at Haptik, a conversational AI platform, and the way the group paired with the Indian Authorities and WhatsApp to construct a COVID-19 helpline.
Leigh Johnson from USA is the founding father of Print Nanny, an automatic failure detection system and monitoring system for 3D printers. Meet Leigh on this weblog and video!
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