New to Machine Learning? Check out learn.spell.ml
The fastest and easiest machine learning tool to run your experiments on. It works like magic.
Spell’s infrastructure and tools allow anyone to prepare, train, deploy, and manage machine learning projects.
Access CPU or GPU machine types and frameworks without investing personal resources for infrastructure management and maintenance. Get started on Machine Learning projects faster with a readymade solution.
User friendly interface and web console allow for a smooth workflow. Use simple command line tools on a Machine Learning environment that processes information efficiently and requires low overhead and no maintenance.
Run experiments on the necessary computing power for peak performance and accelerate result analysis. Models and experiments run quickly. Low cost and fast results.
Spell removes the time it takes to set up and manage machine learning infrastructure. Use pre-built environments with the most popular ML tools and libraries to deploy in seconds.
Get to work on collaborative GPU-powered Jupyter Workspaces. Instantly spin up notebooks up for data preparation, cleaning, transformation, and experimentation.
Run code, software, and binaries with the Spell CLI. Simply type ‘spell run’ in front of commands to get started. Seamless movement from writing code to deploying models.
Access the framework of your choice instantly. Spell supports the best machine learning and deep learning frameworks: Tensorflow, PyTorch, Caffe, FastAI, and more.
Connect with a growing community of data scientists and developers. Network, learn, and share tutorials, industry insights, and best practices in machine learning.
See some of their testimonials here
I had the opportunity to work with Spell on a challenge for Omdena to preprocessing our datasets. This was a great experience because on my laptop this process took many hours while on Spell it was much faster and my laptop didn't freeze. Additionally, Spell had logs where I can monitor my process, kill the run if it is necessary, and I can see how long the run is so I can monitor performance in my code.
Spell is a collaborative platform that lets anyone run machine learning experiments.
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