Top news of the week: 04.06.2020.

#GPU #ProTip #icml20 #gml #icml #icml2020

Research

On Jun 3, 2020
@jeremyphoward shared
"If you want to learn deep learning by example, from a team that has seemingly written the book on it, Deep Learning for Coders with fastai and PyTorch is for you." Thanks @mattmayo13 @kdnuggets! 😊 https://t.co/K3d64GStXc
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Deep Learning for Coders with fastai and PyTorch: The Free eBook

Deep Learning for Coders with fastai and PyTorch: The Free eBook

If you are interested in a top-down, example-driven book on deep learning, check out the draft of the upcoming Deep Learning for Coders with fastai & PyTorch from fast.ai team.

On May 30, 2020
@kchonyc shared
RT @RisingSayak: Super excited to share my conversation with @nikiparmar09, Senior Research Scientist at Google Brain: https://t.co/pg4QJWrEsU. We talk about Niki's motivations to pursue Machine Learning, the kind of problems she works on, her approach towards conducting research, and more.
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An interview with Niki Parmar, Senior Research Scientist at Google Brain

An interview with Niki Parmar, Senior Research Scientist at Google Brain

I am pleased to have Niki Parmar for today’s interview. Niki is a Senior Research Scientist at Google Brain where she is involved in…

On May 28, 2020
@jeremyphoward shared
RT @rapidsai: Our new #GPU-based SubWord Tokenizer in @rapidsai CLX feeds BERT models 270x faster than other wordpiece tokenizers. Supports non-truncation of logs and stride, and pipes directly to @PyTorch. Give it a shot! https://t.co/DPe4TpMzYq
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Preprocess Your Data at Lightspeed with Our GPU-based Tokenizer for BERT Language Models

Preprocess Your Data at Lightspeed with Our GPU-based Tokenizer for BERT Language Models

This tokenizer, applied as a pre-processing step before input into a BERT language model, runs up to 270x faster than CPU implementations

On May 31, 2020
@petewarden shared
RT @jasonsalas: #ProTip: here's my gotchas for any TinyML newbies having trouble getting the super-cool demos of running machine learning on a microcontroller in @petewarden & @dansitu's book. (Which is 🌟🌟🌟🌟🌟excellent.) https://t.co/gK2GnOoZ7n
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Gotchas to getting the TinyML book demos to run

Gotchas to getting the TinyML book demos to run

I’ve been having tremendous fun working with the demos for TinyML book, written by Pete Warden and Daniel Situnayake about the insanely…

On Jun 2, 2020
@NandoDF shared
DeepMind Surges on, Releasing Acme and Reverb RL Libraries ⁦@DeepMind⁩ ⁦@mw_hoffman⁩ ⁦@bshahr⁩ ⁦@john_aslanides⁩ ⁦@gbarthmaron⁩ ⁦@FeryalMP⁩ ⁦@katebaumli⁩ ⁦@koraykv⁩ https://t.co/w2apaktzvf
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DeepMind Surges on, Releasing Acme and Reverb RL Libraries

DeepMind Surges on, Releasing Acme and Reverb RL Libraries

DeepMind, an Alphabet subsidiary, continues to pump out useful software libraries for the machine learning research community. It just released Acme, an RL agent trainer, and Reverb, an RL ...

On Jun 3, 2020
@amuellerml shared
RT @SergeyI49013776: ICML 2020 papers are out (https://t.co/CSYW7rQu7G) and here are some quick stats: • 4990 submissions (vs 3424 in 2019) • 1088 accepted (vs 774 in 2019) • 21.8% acceptance rate (vs 22.6% in 2019) • 53 graph papers (5% of total) #icml #icml2020 #icml20 #gml
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On Jun 2, 2020
@dennybritz shared
And the replay buffer storage is probably useful on its own: https://t.co/otUYF9socf
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Reverb

Reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research - deepmind/reverb

On Jun 1, 2020
@xamat shared
RT @chrmanning: The world has changed unexpectedly since @StanfordHAI scheduled its follow-up COVID+AI: The Road Ahead event for today 9:15am Pacific. But not only is the backdrop picture oddly apt, the need to rebuild a better more human-centered future is more urgent. https://t.co/LDzBvK3Mr0 https://t.co/4q07TzrJkq
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COVID + AI: The Road Ahead

COVID + AI: The Road Ahead

This agenda may be updated due to speaker availability and scheduling changes. Speakers: John Etchemendy, Denning Family Co-Director, Stanford Institute for Human-Centered …