A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
Research and implement conformal prediction methods for deep learning models, utilizing PyTorch for enhanced performance.
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TorchCP has 477 stars on GitHub. It has been forked 51 times. TorchCP is written mainly in Python. It has been in active development since 2023. TorchCP is available under the LGPL-3.0 license. Its main topics are classification, conformal-prediction, graph, large-language-models.
A Python toolbox for conformal prediction research on deep learning models, using PyTorch.
TorchCP is an open-source project. It is released under the LGPL-3.0 license.
Yes. TorchCP is free and open source — you can use, modify and self-host it. Its LGPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.
TorchCP is available under the LGPL-3.0 license.
TorchCP is written mainly in Python.
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