Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

A Python package for reformatting and accessing demand, solar generation and wind generation time series data used by the Australian Energy Market Operator (AEMO) in their Integrated System Plan (ISP) ...

KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...

Abstract: The Internet of Things has become more significant in many fields. Traffic control and road safety are the most important areas for both the public's safety and the appropriate operation of ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming languages for beginners and experts alike. We’ve compiled a list of 10 online ...