The AI Infrastructure Alliance now stand at 24 members strong, with some of the most cutting edge #ml software platforms in the world.
In the last month we welcomed @SuperwiseAI, @valohaiai, @whylabs, @cnvrg_io@arizeai, @cometml, and @kardiolabsAI.
https://t.co/XmO351GKm7
Another demo webinar coming up 21st of Jan! Join Eero for a full tour of the Valohai #MLOps platform.
☁️ Learn how Valohai enables easy model training on the cloud
🔨 How to build automated #ML pipelines
📦 How how to deploy a model
https://t.co/XzN9LVi6sL
Could this be the solution to your notebooks that take forever to run? We are launching Minihai, an open-source Jupyter extension that makes it easy to run notebooks on a server without leaving their local Jupyter notebook. Check it out: https://t.co/bvjUTHuhxW @ProjectJupyter
Practical MLOps: How To Get Ready for Production Models.
Get the preview release of our upcoming eBook today and learn how MLOps is done the right way! https://t.co/z8nWWeOroD
#MLOps#MachineLearning
We at Valohai joined forces with @TwitterEng, @SigOpt, @UberEng to hold a @NeurIPSConf optimization challenge.
The models and data are hidden and the goal is to find better optimization algorithms for #MachineLearning. Read more: https://t.co/RjLXdaTrT0
Is your Machine Learning team working remotely because of the Coronavirus? Having a distributed team for 4 years, here are our learnings and tips for working effectively with ML projects despite the location: https://t.co/F1dEbkkvBs by @eero_laaksonen#machinelearning#remote
Check out the new Valohai website! We are super happy to finally be able to show it to the world!
It's also time to be honest! What do you think? We'd love to get some feedback!
https://t.co/gzOh0Aymsk
ps. Check out the switch in the top right corner too ;)
Read how @SelkoAI built their machine learning infrastructure with seamless integration to their UI! Why did they end up using Valohai after first building an internal ML tool? https://t.co/gjdl4SLCih #MLOps#MachineLearning
How to deliver relevant recommendations before having access to large customer databases? In the following tutorial, we will walk through building a clothes detection system which forms the basis of a robust fashion recommender engine.
https://t.co/CSYQ1V9k0g
Sign up today for our Kubeflow Webinar on Thursday! (@ 17:00 GMT+2) We’ll introduce the different parts to Google’s Kubeflow project and then set up the project so we can run something on top of it ourselves. We’ll email you a link to the live webinar! https://t.co/lhZmPcQb1n
One of the more exciting features we have is our Pipeline system. Since our mission is to enable CI/CD style development for machine learning, there's a logical next step up from just running your code in a repeatable manner with Valohai.
https://t.co/ILzCoFmyrm
One of the hottest areas for deep learning is self-driving cars. Learn how to train a self-driving vehicle using a simulator from Udacity. This is a toy example illustrating the best practices for training automotive deep learning models. https://t.co/VFLn0KdYPf #SelfDriving
Data Science ASMR Series #1 by our very own Fredu! Put your headphones on and start your weekend with a relaxing first part of our ASMR series.
Like, Subscribe and hit the bell-button!
https://t.co/R9VDmVGAWh