Paperspace Gradient VS Facebook.ai

Paperspace Gradient

A Linux desktop in the cloud built for Machine Learning

Facebook.ai

Everything you need to take AI from research to production

Landing page //
2023-02-04

Landing page //
2023-05-09

Paperspace for Machine Learning

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Category Popularity

0-100% (relative to Paperspace Gradient and Facebook.ai)

Facebook.ai

AI

33 33%

AI

67% 67

Data Science And Machine Learning

45 45%

Data Science And Machine Learning

55% 55

Developer Tools

22 22%

Developer Tools

78% 78

Productivity

100 100%

Productivity

0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Paperspace Gradient and Facebook.ai

Gradient by Paperspace is a robust alternative that allows developing, training, and deploying machine learning models quickly. With free GPU tier and one-click Jupyter notebooks, it's an easy-to-use platform that doesn't compromise on functionality. Gradient is also known for its powerful experiment tracking and version control capabilities.

Source: deepnote.com

12 Best Jupyter Notebook Alternatives [2023] – Features, pros & cons, pricing

Paperspace Gradient is a cloud-based platform for data science and machine learning that offers many of the same features as Jupyter Notebooks, as well as a number of additional capabilities. It provides powerful hardware resources, including GPUs, and supports Python, R, and Julia.

Source: noteable.io

Facebook.ai Reviews

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Social recommendations and mentions

Based on our record, Facebook.ai should be more popular than Paperspace Gradient. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Paperspace Gradient mentions (1)

JetBrains announced a new Data Science platform for teams
Yeah, seems so to me. Add it to the list. https://cloud.google.com/notebooks https://notebooks.azure.com/ https://aws.amazon.com/emr/features/notebooks https://colab.research.google.com/ https://www.kaggle.com/code https://gradient.paperspace.com/. - Source: Hacker News / almost 3 years ago

Facebook.ai mentions (2)

13B LLaMA Alpaca LoRAs Available on Hugging Face
Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: about 1 year ago
[D] Current trends in computer vision related to unsupervised learning
You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: over 1 year ago