Facebook.ai
A.I. Experiments by Google
Lobe
Deep Learning Gallery
Talk to Books by Google
PyTorch Lightning
TensorFlow
Google Open Source
Conduit
datagran
Airtable
Ploomber
Affinity
4Degrees.ai
Chief of Staff Network
DiscreetAI
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Based on our record, Facebook.ai should be more popular than Conduit. 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.
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
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: almost 2 years ago
If you're looking for a tool with a UI and in which you can also easily extend the functionality with your own, custom data connectors, you might also want take a look at Conduit which is another open-source tool we've developed to make building and running real-time data infrastructure more straightforward and less time consuming. Source: almost 2 years ago
A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more
datagran - All-in-one AI data workspace
Lobe - Visual tool for building custom deep learning models
Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
Deep Learning Gallery - A curated list of awesome deep learning projects
Ploomber - Ploomber is an open-source framework that helps data scientists quickly deploy the code they develop in interactive environments (Jupyter, VScode, PyCharm, etc.), eliminating the need for time-consuming manual porting to production platforms.
