This project corresponds to one of the capstone projects unit of the Master of Complex Systems at USyd. I 'translated' almost all the tutorials, originally written in Matlab, into Python. The ...

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...

The benefits of gaming laptops for students include power, versatility and hardware that keeps pace with modern study.

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

Available from Computing Services: http://www.cmu.edu/computing/software/all/matlab/download.html You need to be on CMU network or VPN to CMU network to use MATLAB ...

When it comes to tasks other than number crunching, the human brain possesses many advantages over a digital computer. We can quickly recognize a face, even when seen from the side in bad lighting in ...

Abstract: PVLIB is a set of open source modeling functions that allow users to simulate most aspects of PV system performance. The functions, in Matlab and Python, are freely available under a BSD 3 ...

Abstract: The domain of cross compiler development pertains to the process wherein code written in one programming language is translated to another so that it may be compatible with another ...

The Master of Science in Statistics and Data Science, offered by the Department of Mathematics, provides students with training in the statistical analysis of data sets, as well as in state-of-the-art ...

The CERT Division is a leader in cybersecurity. We partner with government, industry, law enforcement, and academia to improve the security and resilience of computer systems and networks. We study ...