The Clear SHOW - S02E00 - Celebrating ClearML v1.0 !!
T. Guerre gives a UI-centric overture of the recent changes in v1.0 Depeche Mode MegaMix - nullsleep (CC)
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ClearML hits 1.0
May 3rd 2021 – With over 11 man-years of working, and tinkering, long into the night, I am pleased to announce we have hit version 1.0. Following quickly after the release of ClearML 0.17.5, we added the last remaining features we felt 1.0 needed. Namely multi-model support, as well as improved batch operations. With these in place, the choice was clear. The next version released should be the baseline moving forward.
ClearML Community Roadmap
Few things in life are certain, least of all roadmaps. There is a saying I love, apart from the one above, which says “if you want to hear God laugh, tell him/her your plans”. Nowhere is that more true than in software development in a startup. There are grand ideas put forward, people often vie with one another, in short, life happens.
The Clear SHOW - S02E03 - Your Code == Feature Store
Ariel and T.Guerre discussing the reasoning behind features stores. Should you get one for your production pipeline? First time hearing about us? Go to - clear.ml! ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project.
Construction feat. TF2 Object Detection API
Although the title might sound like a collaboration of two music bands with really bad names, this blog is all about understanding how computer vision and machine learning can be used to improve safety and security in a harsh and dangerous environment of a construction site. The construction industry is one of the most dangerous industries according to the common stats from OSHA.
The Clear SHOW - S02E02 - .get_local_copy()
Ariel and T.Guerre discussing how to get the dataset onto your machine :) First time hearing about us? Go to - clear.ml! ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project.
The Clear SHOW - S02E01 - clearml-data
A git-for-data that isn't a git-for-data ;) ClearML: One open-source suite of tools that automates preparing, executing, and analyzing machine learning experiments. Bring enterprise-grade data science tools to any ML project.
Stacking up against the Competition
One of the most leading questions we often receive is, “How does ClearML Compare to..”. I am sure this is the same for any Open Source product. People always want to find the best. The sad truth is, of course, there usually is no “right answer”. What one person needs, another may not. I am sure that, whichever language you speak natively, there is some saying. In English it would be “one mans rubbish, is another mans gold”.
Good Testing Data is All You Need - Guest Post
Building machine learning (ML) and deep learning (DL) models obviously require plenty of data as a training-set and a test-set on which the model is tested against and evaluated. Best practices related to the setup of train-sets and test-sets have evolved in academic circles, however, within the context of applied data science, organizations need to take into consideration a very different set of requirements and goals. Ultimately, any model that a company builds aims to address a business problem.
The Train Has Left the Station for the Last Time
We have three big announcements to our community today, and I wanted to talk to you about them: One, Allegro Trains is changing its name, two, we’re adding a completely new way to use Trains, and three, we’re announcing a bunch of features that make Trains an even better product for you! Read all about it on our blog at Clear.ml, our new website for our open source suite of tools.