Alternative products to Paperspace for Machine Learning

Paperspace for Machine Learning

A Linux desktop in the cloud built for Machine Learning

6 alternative and related products to Paperspace for Machine Learning

ML5.js

Friendly machine learning for the web

Ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.

9 Alternatives to ML5.js

ML Showcase

A curated collection of machine learning projects

Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!

8 Alternatives to ML Showcase

Prodigy is a new annotation tool for creating training and evaluation data for machine learning models. It comes with an extensible, self-hosted back-end, active learning-powered models that update as you annotate, and a modern web application that helps you stay focused.

Ines Montani- Founder @explosion_ai
@honnibal and I built Prodigy to help data scientists create labelled data for machine learning models faster. Bootstrapping let us build a product that AI developers love, but investors would have been unable to fund. There's no lock-in, and no repeat revenue – you just buy a license and use the software ✨
8 Alternatives to Prodigy

ModelDepot

Curated Machine Learning models to ⚡supercharge⚡your product

ModelDepot is aiming to make advancements in machine learning more accessible to engineers.

Effortlessly find and use curated pre-trained models to build better products that are augmented by cutting edge strides in the field.

Medium
In traditional supervised machine learning, we teach a model to become more successful and efficient at a task, by providing it with example data. Generally, once the model begins to perform well on the training data for the domain or problem it is tasked with, we expect a reasonable performance for new data.
Medium
We previously talked about how Transfer Learning will radically change ML. People seemed to love it, so we thought we'd follow up with some thoughts on democratizing AI and Software 2.0. Machine Learning has had significant impact on the technology industry in the past few years, but many engineers still view it as little more than a highly specialized tool … See more
9 Alternatives to ModelDepot

Count

Real-time Shake Shack line counter using machine learning

Count is a machine learning company looking to quantify the organic data inside photos, video, and sound. Anybody that has lived in Manhattan understands the dynamics of the Shake Shack line in Madison Square Park. We thought it would be fun to practice our craft quantifying the Shake Shack line in real-time as our first experiment.

8 Alternatives to Count
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