Neural decoding · Decoding
Braindecode
Deep-learning models and training utilities for EEG, ECoG and MEG decoding in PyTorch.
- Active
- Widely used
- Research-focused
What problem does it solve?
Provides tested reference architectures and data loaders so that deep models for neural signals are comparable across studies.
Who is it for?
Machine-learning practitioners working on neural time series
At a glance
- Primary use
- Neural decoding
- Licence
- BSD-3-Clause · permissive
- Language
- Python
- Current release
- v1.8.1, published 31 Aug 2026
- Development activity
- Last commit 3 Oct 2026 · repository created 7 Jan 2020
- Maintainers
- Braindecode developers
- GitHub stars
- 1,319 as of 3 Oct 2026
Repository facts are a snapshot read from the GitHub API on 3 Oct 2026; they are reported as found, not scored.
Supported modalities and use
How it fits into a BCI stack
Hardware
2 tools
Acquisition
3 tools
Streaming
3 tools
Processing
6 tools
Decoding
Braindecode
Applications
2 tools
Data & standards
3 tools
- Build a real-time EEG BCIas Decoder
- Analyse an ECoG speech datasetas Decoder
- Build an online motor decoderas Model
Sources
- 01
github.com/braindecode/braindecode (opens in a new tab)
Open-source repositoryGitHubChecked against source 3 Oct 2026
Repository metadata read from the GitHub API.