Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"
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Updated
Feb 1, 2024 - Python
Code for the paper "Combining Gradients and Probabilities for Heterogeneours Approximation of Neural Networks"
GPU-accelerated Neural Network layers using Approximate Multiplications for PyTorch
Repository accompanying the paper "Fixed-Posit: A Floating-Point Representation for Error-Resilient Applications" published in IEEE Transactions on Circuits and Systems II
A radix 4 booth multiplier that trades off accuracy for speed and area considerations
A Comprehensive Guide to Pytest Approx for Accurate Numeric Testing
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