Our own implementation of Neural Message Passing for Computer Vision paper - priba/nmp_qc

This blog post gives an overview of multi-task learning in deep neural networks. It discusses existing approaches as well as recent advances.

Machine Learning and Nonparametric Bayesian Statistics by prof. Zoubin Ghahramani. These lectures are part of the Visiting Professor Programme co-financed by...

bytenet_translation - A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

GitHub Gist: instantly share code, notes, and snippets.

Automatic Machine Learning (AML) is a pipeline, which enables you to automate the repetitive steps in your Machine Learning (ML) problems and so save time to focus on parts where your expertise has…

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle - polyaxon/polyaxon

I often see practitioners expressing confusion about how to evaluate a deep learning model. This is often obvious from questions like: What random seed should I use? Do I need a random seed? Why don't I get the same results on subsequent runs? In this post…

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) - aymericdamien/TensorFlow-Examples

AlphaGo’s victory isn’t a defeat for humans — it’s an opportunity

В этой статье мы покажем, как работают технологии распознавания образов на Эльбрус-4С и на новом Эльбрус-8С: рассмотрим несколько задач машинного зрения,...

В руках нашей команды из CleverDATA оказался уникальный материал – около 100 тыс. страниц англоязычных блогов, посвященных бьюти-сфере. Этот корпус к нам попал...

ConvAI-baseline - ConvAI baseline solution

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) - aymericdamien/TensorFlow-Examples

До конца года остаётся 213 дней, так что самое время начать изучать что-то новое, например, погрузиться в науку о нейронных сетях. Сегодня за один день мы...