A go-to software platform scientists use to do their work could become less glitchy, thanks to University of Alberta research ...
Abstract: The data preprocessing unit is a crucial component within the digital signal processing subsystem of meteorological microwave radiometers. In response to the increasing number of channels in ...
A deep learning pipeline for de novo molecular generation using LSTM and reinforcement learning (REINFORCE), with support for fragment-based control and automated molecule evaluation. This project ...
A high-performance Python package for converting high-frequency tick data into various bar types (time, volume, dollar, and tick bars) for financial analysis and algorithmic trading. This package ...
Fueled by AI, global demand for data center capacity could more than triple by 2030, McKinsey reports. But these facilities use up enormous amounts of water and power to keep their equipment cool. In ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
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