Rare find

X-Transformers. A ready-to-use AI model builder with experimental features from research papers.

github.com/lucidrains/x-transformers

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Updates

July 2026
  • add a new positional bias from Inkling, allowing each token to projec…
  • add an option for the e2e-ttt to update a dedicated set of long term …
  • for ttt in the xl autoregressive wrapper, allow for gradients generat…
  • allow for loss explorations in next latent wrapper
  • for e2e-ttt, add ability to update with muon
June 2026
  • with gemini, add ability to do the descending ff dim across depth, bu…
  • gru also works, just not as well as the scheme they have with 3 layer…
  • a gvf idea did not work for path star, but a dynamic rollout loss wei…
  • add a wrapper for the specific scheme for next latent prediction prop…
  • turns out a researcher at Atlassian of all places already tried this,…
  • add a function for segmenting a sequence by accumulated entropy for t…
  • the two ingredients needed for the "sleep" phase would be ability to …
  • for e2e ttt, add the ability for a custom ttt loss that is not the ma…
  • with gemini, add e2e ttt to the xl autoregressive wrapper, before inv…
  • cleanup inverted attention, make sure researchers do not accidentally…
  • add inverted cross attention
  • allow for a layer below the embedding predicting the next embedding a…
  • leave a thought
  • not as good, but leave the work around for a student to try
May 2026
  • some flexibility for the RL token
  • link to bycloud
  • allow for qkvo attn to be modulated
  • l1 loss for continuous autoencoder
  • add a continuous transformer autoencoder to facilitate the creation o…
  • account for masking / variable lengths, and add a learnt alpha/beta v…
February 2026
  • Release —2.16.1
  • Release —2.16.0
  • Release —2.15.2
  • Release —2.15.1
  • Release —2.15.0