Useful and practical post on pandas indexing

Link: https://www.shanelynn.ie/select-pandas-dataframe-rows-and-columns-using-iloc-loc-and-ix/

#beginner #pandas #practical #novice #entrylevel

ODS breakfast in Berlin! See you this Wednesday at 08:30-10:00 at Einstein (Alexanderplatz 3, 10178 Berlin)
ODS Frühstück in Berlin! Wir sehen uns an diesem Mittwoch um 08:30 - 10:00 Uhr in Einstein cafe (Alexanderplatz 3, 10178 Berlin)

Large Memory Layers with Product Keys

Exploration of transformer architecture with special memory layer.

Link: https://arxiv.org/abs/1907.05242

#NLP #DL #transformer

Prisma founders launch Capture.

New app allows to take a photo of anything (even series and books) and get discuss it with random people online. All the processing is done on device. iOS only until autumn.

Link: https://techcrunch.com/2019/07/16/social-chat-app-capture-launches-to-take-a-shot-at-less-viral-success/
AppStore: https://apple.co/2xWnUUl

#Prisma #DL #CV #product

​​Generative Modeling by Estimating Gradients of the Data Distribution

Paper on a different approach to generative modeling. We can estimate gradients of the data distribution and sample with Langevin dynamics. No adversarial method and no approximation for tractable training. Record-breaking inception score of 8.91 on CIFAR-10.

Github: https://github.com/ermongroup/ncsn
ArXiV: https://arxiv.org/abs/1907.05600

#GAN #CIFAR #cv #dl

We count every opinion and listen to your feedback, so please vote.

We also preparing special event for the chat creation, so stay tuned for the announcement

Microsoft open-sourced scripts and notebooks to pre-train and finetune BERT natural language model with domain-specific texts

Github: https://github.com/microsoft/AzureML-BERT
Earlier: https://yangx.top/opendatascience/837

#Bert #Microsoft #NLP #dl

Checkout our friends' recent publication.

ODS breakfast in Paris! See you this Saturday at 10:30 at Malongo Café, 50 Rue Saint-André des Arts.

​​TabNine showed deep learning code autocomplete tool based on GPT-2 architecture.

Video demonstrates the concept. Hopefully, it will allow us to write code with less bugs, not more.

Link: https://tabnine.com/blog/deep
Something relatively similar by Microsoft: https://visualstudio.microsoft.com/ru/services/intellicode

#GPT2 #TabNine #autocomplete #product #NLP #NLU #codegeneration

Great collection of practical rules for routine DS engineering / research job.

Machine Learning in a company is 10% Data Science & 90% other challenges, this pdf provides a great deal of principals and solutions to deal with them.

We can only recommend saving this post to your Saved Messages by forwarding it to yourself.

Link: http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf

#cheatsheet #advice #practical #common #shouldbesaved

​​YouTokenToMe, new tool for text tokenisation from VK team

Meet new enhanced tokenisation tool on steroids. Works 7-10 times faster alphabetic languages and 40 to 50 times faster on logographic languages, than alternatives.

Under the hood (watch source) there is C++ implementation with python bindings, using Byte Pair Encoding (BPE) algorithm. YouTokenToMe beats #SentencePiece by Google and #fastBPE, created by a researcher from Facebook AI Research in terms of speed.

Github: https://github.com/vkcom/YouTokenToMe
Medium: https://medium.com/@vktech/youtokentome-a-tool-for-quick-text-tokenization-from-the-vk-team-aa6341215c5a
Byte Pair Encoding: https://arxiv.org/abs/1508.07909

This improvement for everyday used toolset deserves minimum 50 claps at Medium and a Star on github!
Let’s give VK research team appreciation from the community they deserve 👏!!

What’s wrong with transformer architecture: an overview

How the Transformers broke NLP leaderboards and why that can be bad for industry.

Link: https://hackingsemantics.xyz/2019/leaderboards/

#NLP #overview #transformer #BERT #XLNet

​​Simultaneous food and facial recognition at a Foxconn factory canteen, Shenzhen China

#video #foodlearning #facerecogniction #dl #cv #foxconn

​​Deep Learning Image Segmentation for Ecommerce Catalogue Visual Search

Microsoft’s article on image segmentation

Link: https://www.microsoft.com/developerblog/2018/04/18/deep-learning-image-segmentation-for-ecommerce-catalogue-visual-search/

#CV #DL #Segmentation #Microsoft

​​Google AI research on learning better simulation methods for partial differential equations

New research shows how machine learning can improve high-performance computing for solving partial differential equations, with potential applications that range from modeling #climatechange to simulating fusion reactions. Learn all about it here

Link: https://ai.googleblog.com/2019/07/learning-better-simulation-methods-for.html

#PDE #DE #GoogleAI

On the concept of 'intellectual debt'

There is technical debt — when you know you should rewrite some stuff, or implement some features, but they don't seem critical at the moment. So article introduces a concept of 'intellectual debt', which resies with more broad and common use of #MachineLearning and #DeepLearning (specially, the latter). What happens when AI gives us seemingly correct answers that we wouldn't have thought of ourselves, without any theory to explain them?

Link: https://www.newyorker.com/tech/annals-of-technology/the-hidden-costs-of-automated-thinking

#Meta #common #lyrics

​​New dataset with adversarial examples

Natural Adversarial Examples are real-world and unmodified examples which cause classifiers to be consistently confused. The new dataset has 7,500 images, which we personally labeled over several months.

ArXiV: https://arxiv.org/abs/1907.07174
Dataset and code: https://github.com/hendrycks/natural-adv-examples

#Dataset #Adversarial