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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.
| Date | Stars |
|---|---|
| 2026-07-31 | 874 |
| 2026-08-03 | 882 |
| 2026-08-06 | 882 |
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<!-- Copyright (c) Meta Platforms, Inc. and affiliates. All rights reserved. This source code is licensed under the license found in the LICENSE file in the root directory of this source tree. --> # Brain2Qwerty Decoding Sentences from Non-Invasive Recordings of the Brain. <p align="center"> <img src="resources/comm_hero_clean.gif" alt="A participant types in an MEG scanner; Brain2Qwerty reconstructs the sentence from brain activity." width="100%"> </p> ## Documentation - [Project website](https://facebookresearch.github.io/brain2qwerty/) - [Meta blog](https://ai.meta.com/blog/brain2qwerty-brain-ai-human-communication/) ## Publications - [*Non-invasive decoding of typed sentences from human brain activity*](https://www.nature.com/articles/s41593-026-02303-2) (Nature Neuroscience, 2026). - [*Accurate Decoding of Natural Sentences from Non-Invasive Brain Recordings*](https://facebookresearch.github.io/brain2qwerty/assets/brain2qwerty_v2.pdf) (preprint, 2026). ## Code - [brain2qwerty_v1/](brain2qwerty_v1/) - [brain2qwerty_v2/](brain2qwerty_v2/) ## Infrastructure - [NeuralSet](https://github.com/facebookresearch/neuroai/tree/main/neuralset-repo) - [NeuralTrain](https://github.com/facebookresearch/neuroai/tree/main/neuraltrain-repo) ## License The code is released under [CC BY-NC 4.0](LICENSE). ## Data - Brain2Qwerty v1: https://huggingface.co/datasets/bcbl190626/SpanishBCBL - Brain2Qwerty v2: under embargo until the paper acceptation. The datasets are collected by and belong to the [BCBL — Basque Center on Cognition, Brain and Language](https://www.bcbl.eu/).
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:9c66c35e55edabe3, llm:Repository description: 'Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.' (facebookresearch/brain2qwerty)
matched fp:9c66c35e55edabe3, llm:Repository description: 'Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.' (facebookresearch/brain2qwerty)
matched fp:9c66c35e55edabe3, llm:Repository description: 'Non-invasive decoding of typed sentences from MEG and EEG brain recordings using a convolutional encoder, transformer, and character-level language model.' (facebookresearch/brain2qwerty)