polars-bloomberg is a Python library that extracts Bloomberg's financial data directly into Polars DataFrames. If you’re a quant financial analyst, data scientist, or quant developer working in ...
How chunked arrays turned a frozen machine into a finished climate model ...
Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...
These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
0.70.x - 0.74.x 1.0.x Old Architecture Fully Supported 0.75.x - 0.78.x 1.0.x Old & New Architecture Fully Supported Note: This library requires prebuild because it uses native iOS Vision Framework and ...
Abstract: In recent years, deep learning methods have become prevalent in the field of side-channel analysis (SCA), leading to a decline in research on nonprofiled attacks and their preprocessing ...
Abstract: Considering that the nature of the stego signal caused by spatial domain steganography and joint photographic experts group (JPEG) domain steganography is different, existing deep-learning ...
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