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jialuechen · Oct 10, 2024 · d07dfcb · d07dfcb
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 TorchQuant documentation
 ========================
 
-Welcome to TorchQuant's documentation. TorchQuant is a comprehensive quantitative financelibrary built on top of PyTorch's automatic differentiation and GPU/TPU/MPS acceleration. It is a differentiable pricing framework with high-accuracy of numerical methods. It provides comprehensive tools for derivatives pricing, risk management, and stochastic model calibration.
+Welcome to TorchQuant's documentation. TorchQuant is a comprehensive quantitative finance library built on top of PyTorch's automatic differentiation and GPU/TPU/MPS acceleration. It is a differentiable pricing framework with high-accuracy numerical methods. It provides comprehensive tools for derivatives pricing, risk management, and stochastic model calibration.
 
 .. toctree::
    :maxdepth: 2