Machine Learning Research Engineer. Gimme the data.
Quantization-Tutorials. A bunch of coding tutorials for my Youtube videos on Neural Network Quantization.
31EasyQuant. A minimalist extension to PyTorch's quantization library, which improves QAT training speed, adds custom visual quantization debugging tools, and robust unit testing. Natively compatible with both Eager and Graph mode quantization.
5Inter-Frequency-Power-Correlation-Statistical-Significance-Test. A Monte-Carlo based statistical significance test for inter-frequency power correlations in non-stationary time-series. Accounts for intra-frequency autocorrelation, inter-frequency non-dyadicity, and controls the FDR for multiple testing under dependency.
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