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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t-SNE is a method for visualizing high dimensional space. It often produces more insightful charts than the alternatives like PCA.

State-of-the-art results with 60x fewer parameters

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...

Ten thousand books, six million ratings. Contribute to zygmuntz/goodbooks-10k development by creating an account on GitHub.

То же видео, но с улучшенным звуком https://www.youtube.com/watch?v=uwQat1TV0JM (tnx to Denis Cera, Oleg Butko)

На 2-ой лекции мы попрактикуемся в визуальном анализе данных средствами Python – matplotlib и seaborn.

Сайт курса – https://mlcourse.ai
О курсе…

Deep learning is having a large impact on the field of natural language processing.

But, as a beginner, where do you start?

Both deep learning and natural language processing are huge fields. What are the salient aspects of each field to focus on and…

This is the first post in the In Raw Numpy series. This series is an attempt to provide readers (and myself) with an understanding of some of the most frequently-used machine learning methods by going through the math and intuition, and implementing it using…

<a href="https://www.kaggle.com/c/carvana-image-masking-challenge" target="_blank">Carvana Image Masking Challenge</a> hosted on Kaggle have attracted a lot of attention from the Deep Learning community. Currently, the contest has more than 600 teams registered.…

There exists a hidden gap between the more idealized view of the world given to data-science students and recent hires, and the issues they…

Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - pytorch/fairseq

A new beta release of Kernels, a Jupyter Notebook client for iPad.

Про Kaggle, карьеру, образование, роль советских ученых в становлении ML и про то, зачем нужен открытый курс по машинному обучению.

Все интервью серии:
- Александр Дьяконов https://youtu.be/qV3yjIyj7Dc
- Константин Воронцов https://youtu.be/DR3mgnEKRgI…

Learning embeddings for classification, retrieval and ranking. - GitHub - facebookresearch/StarSpace: Learning embeddings for classification, retrieval and ranking.

The field of natural language processing is shifting from statistical methods to neural network methods.

There are still many challenging problems to solve in natural language. Nevertheless, deep learning methods are achieving state-of-the-art results…

Official Kaggle Blog ft. interviews from top data science competitors and more!

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN) - nashory/gans-collection.torch

Much like the rise of electricity, which started about 100 years ago, AI will revolutionize every major industry. Andrew Ng explains how AI can transform your business, shares major technology trends and thoughts on where your biggest future opportunities…