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...

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more. - jacobgil/pytorch-grad-cam

Prerequisites: This article assumes you are familiar with the basics of Python, TensorFlow, and Jupyter notebooks. We won't use any of the advanced TensorFlo...