torchsignal
importedsoftware/torchsignal
Data manipulation and transformation for signal processing, powered by PyTorch
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- BSD-2-Clause(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- unknown
- Repository
- github.com/jinglescode/torchsignal
- Documentation
- unknown
- Tags
- brain-computer-interface · python · pytorch · signal-processing
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- EEGSpeechbrain-computer-interface · pytorch · signal-processing
A brain-computer interface (BCI) for decoding speech phonemes from EEG signals using a hybrid CNN-LSTM model, with interactive Streamlit visualizations and Docker support.
- axonos-signal-pipelinebrain-computer-interface · signal-processing
Deterministic, vector-pinned BCI signal pipeline for AxonOS: raw acquisition frame -> typed, consent-bound decision. no_std, zero-deps, unsafe-free, fixed-point. Engineering demonstrator, not a…
- BciPybrain-computer-interface · signal-processing
Python Brain-Computer Interface Software
- brainflowbrain-computer-interface · signal-processing
BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors
- channel_selectionbrain-computer-interface · signal-processing
Some studies regarding the selection of optimal channels in a BCI based on motor imagery
- low_density_eeg_asrbrain-computer-interface · signal-processing
sharing code and data for artifact removal in EEG
- api.github.com/repos/jinglescode/torchsignalretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2021-03-19, 20 stars, license reported as BSD-2-Clause. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/61.json→ .entries["torchsignal"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.