Статья предназначена, в первую очередь, для людей ранее не работавших с цветом. Она описывает те нюансы, интересные моменты и подводные камни, которые я узнал, к...

For lectures in English, check out this playlist https://bit.ly/2zY6Xe2

То же видео, но с улучшенным звуком https://youtu.be/OAy96yiWohk (Denis Cera, Oleg Butko)

В 1 лекции мы обсудим курс и попрактикуемся в первичном анализе данных с помощью библиотеки…

Deep recommender models using PyTorch. Contribute to maciejkula/spotlight development by creating an account on GitHub.

7 data articles handpicked by the Sicara team, just for you

First of a series of entries covering automated traffic pattern recognition in specific situations.

Community Curated NLP List. Contribute to alvations/awesome-community-curated-nlp development by creating an account on GitHub.

Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data. The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models. In this…

The full code is available on Github. Word2vec is a very popular Natural Language Processing technique nowadays that uses a neural network to learn the vector representations of words called &#8220…

Natural Language Processing, or NLP, is a subfield of machine learning concerned with understanding speech and text data.

Statistical methods and statistical machine learning dominate the field and more recently deep learning methods have proven very effective…

Proximal Policy Optimization to solve MuJoCo and RoboSchool environments

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP - NVIDIA/OpenSeq2Seq

Read the post on our blog.

CNNs in Tensorflow(cifar-10)

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems

What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models.

The University of Oxford…

tfi - Use any TensorFlow model in a single line of code

Sankey diagrams are not just a cool visualization that looks good, they are perfect for displaying decision trees (e.g., CHART, CHAID).

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] - yell/mnist-challenge

photo-organizer - Lviv Data Science Summer School 2016 project

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