Memorizing-transformers-pytorc Alternatives
Similar projects and alternatives to memorizing-transformers-pytorc
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heinsen_routing
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
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memorizing-transformers-pytorch
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
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Hence, a higher number means a better memorizing-transformers-pytorc alternative or higher similarity.
memorizing-transformers-pytorc reviews and mentions
Posts with mentions or reviews of memorizing-transformers-pytorc.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-27.
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What can LLMs never do?
At one point I experimented a little with transformers that had access to external memory searchable via KNN lookups https://github.com/lucidrains/memorizing-transformers-pytorc... or via routed queries with https://github.com/glassroom/heinsen_routing . Both approaches seemed to work for me, but I had to put that work on hold for reasons outside my control.
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Memorizing Transformers – models that can acquire new knowledge immediately
have an implementation of this over at https://github.com/lucidrains/memorizing-transformers-pytorc..., for any researcher exploring retrieval and memory with attention networks
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