Machine Learning GDEs: Q2 ‘21 highlights and achievements

Posted by HyeJung Lee, MJ You, ML Ecosystem Community Managers

At I/O this year, we held two ML Developers Meetups (

After I/O, many ML GDEs posted recap summaries of the I/O on their blogs.

Finally,

Hong Kong-based

Greece-based

Online Meetup

YouTube video

A lot of Keras examples were contributed by

Notebook “

Karim Beguir (UK) co-authored a paper with the DeepMind team covering a novel compositional approach using Deep Reinforcement Learning to solve robotics manipulation tasks. The paper was accepted in the NeurIPS workshop.

Finally, Sayak Paul from India, together with Pin-Yu Chen, published a research paper, “Vision Transformers are Robust Learners,” covering the robustness of the Vision Transformer (ViT) against common corruptions and perturbations, distribution shifts, and natural adversarial examples.

If you want to know more about the Google Experts community and their global open-source ML contributions, please check the GDE Program website, visit the GDE Directory and connect with GDEs on Twitter and LinkedIn. You can also meet them virtually on the ML GDE’s YouTube Channel!



Source: Machine Learning GDEs: Q2 ‘21 highlights and achievements

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