TorchSig is an open-source toolkit built on PyTorch for signal processing and machine learning research. It provides datasets, domain transforms, and pretrained models for radio frequency and communication signals, supporting researchers and engineers in developing and benchmarking signal processing ML models.
TorchSig sits in PulseGate's Frameworks & SDKs category. It focuses on enabling researchers to process, analyze, and model signal data using machine learning in Python. It is built as an open-source project for machine learning researchers and signal processing engineers. TorchSig is open source under the MIT license. It runs on the web and the command line, and it can be self-hosted.
TorchSig first shipped in 2022. Development happens publicly on GitHub with 335 stars and 1 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — TorchSig occupies a relatively distinct niche. Key capabilities include signal datasets, domain transforms, and pretrained models.
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