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snakers4 @ telegram, 1361 members, 1660 posts since 2016

All this - lost like tears in rain.

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Posts by tag «machine_learning»:

snakers4 (Alexander), February 24, 05:56

2017 DS/ML digest 5

Fun stuff

(1) Hardcore metal + CNNs + style transfer - goo.gl/VHYfHe

SpaceNet challenge

(1) Post by Nvidia goo.gl/6Mw4CB

(2) Some links to sota semseg articles

(3) Useful tools for CV - floodfill and grabcut, but guys from Nvidia did not notice ... that road width was in geojson data...

(4) Looks like they replicated the results just for PR, but their masks do not look appealing

Research / papers / libraries

(1) Neural Voice Cloning with a Few Samples - goo.gl/LwmzRf (demos audiodemos.github.io.)

(2) A library for CRFs in Python - goo.gl/cQc8hA

(3) 1000x faster CNN architecture search - still on CIFAR - arxiv.org/pdf/1802.03268.pdf (PyTorch goo.gl/BZ9Vrh)

(4) URLs + CNN - malicious link detection - arxiv.org/abs/1802.03162

Datasets

(1) 3m anime image dataset - www.gwern.net/Danbooru2017

(2) Google HDR dataset - goo.gl/XEL1Fm

Market

(1) Idea - AMT + blockchain - goo.gl/JfzEPV

(2) ARM to make processors for CNNs? - goo.gl/MpdPSB

(3) Google TPU in beta - goo.gl/gRzq9t - very expensive. + Note the rumours that Google's own people do not use their TPU quota

(4) One guy managed to deploy a PyTorch model using ONNX - goo.gl/QD4DkZ

#digest

#machine_learning

#data_science

Hardcore Anal Hydrogen "Jean-Pierre" (2018, Apathia Records)

Order "Hypercut" : http://apathia.link/hah Bandcamp : https://hardcoreanalhydrogen.bandcamp.com/album/hypercut « A gigantic piece of art here to mess with wh...


snakers4 (Alexander), January 20, 15:13

2017 DS/ML digest 1

Did not do digests quite for some time =)

1. Annual digests

1.1 Google Brain one - goo.gl/VQhZmP two goo.gl/XkTRhp

Highlights

- Speech generation goo.gl/MEDv7M

- Speech recognition goo.gl/tCEkVz

- Auto ML goo.gl/fx2FuP

-- NASNET - goo.gl/becAET

1.2

Posted before - but WildML 2017 summary is also awesome goo.gl/ZFtFVT

2. Datasets

→ YouTube-8M (goo.gl/nyP9gp): >7 million YouTube → videos annotated with 4,716 different classes

→ YouTube-Bounding Boxes (goo.gl/c3K6YY): 5 million bounding boxes from 210,000 YouTube videos

→ Speech Commands Dataset (goo.gl/TWsTi8): thousands of speakers saying short command words

→ AudioSet (goo.gl/TVA3LJ): 2 million 10-second → → YouTube clips labeled with 527 different sound events

→ Atomic Visual Actions (AVA) (goo.gl/Ba4U73): 210,000 action labels across 57,000 video clips

→ Open Images (goo.gl/2Xj8Xd): 9M creative-commons licensed images labeled with 6000 classes

→ Open Images with Bounding Boxes (goo.gl/qRkvMy): 1.2M bounding boxes for 600 classes

→ QuickDraw dataset (goo.gl/FSsfYm)

3.

Uber about genetic approach to neural networks - eng.uber.com/deep-neuroevolution/

#digest

#data_science

#deep_learning

#machine_learning

The Google Brain Team — Looking Back on 2017 (Part 1 of 2)

Posted by Jeff Dean, Google Senior Fellow, on behalf of the entire Google Brain Team The Google Brain team works to advance the state of ...


snakers4 (Alexander), October 16, 04:56

Интересное в мире ML

- Import AI - goo.gl/JZvTkT

- Еще раз про "классную" интернет-цензуру в Китае - goo.gl/Qtp2An

- Было - тестовый деплой автономных машин в районе с пенсионерами - goo.gl/YL3eGF

- Pixel buds - наушники Google c переводом - goo.gl/irp8fH

- NLP тулза - точное определение языка с использованием 1МБ памяти - goo.gl/Tzjzkt (вероятно логистическая регрессия на большом корпусе текста)

- Про репозитории Гугла - goo.gl/yRvkGP

- Google открывает филиал своего AI-research отделения в Монтреале - goo.gl/YRzKgF

- Гугл деплоит свой WaveNet на мобильных устройствах - goo.gl/AKpfMv

- Как деплоить Squeeze-Net на Raspberry pi и иметь порядка 1 кадра в секунду с распознаванием - goo.gl/PWrXSh (не забывайте что Pi стоит 10-20 баксов)

- Размышления про predictive shipping и Amazon - goo.gl/QnrtrV

- ЦРУ имеет 137 мини-проекта в сфере ML - goo.gl/AtqWL4

- Гугл открыл подразделение Deep Mind посвященное этике - goo.gl/SMuh9Z

#digest

#data_science

#machine_learning