Machine Learning Engineer Position

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Read the latest news from Activeloop's team, as well as our thoughts on data pre-processing and dataset management.

May 19, 2021

Tutorial

Hot Dog Not Hot Dog - a tasty tale of best practices for classification models for computer vision

Have you ever tried using not-so-popular datasets such as CelebA or ag_news using services such as Tensorflow Datasets (tfds) or torchvision.datasets? Well I have and most of the time, you'll run into several errors finally resorting to traditional

May 26, 2021

Tutorial

A Simpson's quick start guide to any Machine Learning image classification project with organized trackable datasets

Getting data ready to train a machine learning model may make you say "¡Ay, caramba!" at times, just like Bart Simpson. Unless you're using Activeloop Hub, of course. Read a Springfield-inspired multiclass classification tutorial to see for yourself.

May 3, 2021

Tutorial

Accessing Google Objectron Data in Less Than 5 Seconds

Working on big datasets should be fun. But it's usually not. We've partnered up with Google to make Google Objectron available for everyone in mere seconds thanks to our open-source package Hub.

Nov 18, 2020

Tutorial

Faster Machine Learning using Hub by Activeloop: Code Walkthrough

Machine learning engineers work less on machine learning and more on data preparation. In fact, a typical ML engineer spends more than 50% of their time preprocessing the data, rather than analyzing it.

Unifying and abstracting away infrastructure for easier and highly efficient machine and deep learning.

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