Deep Learning with Yacine on MSN
Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial
Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN
Build k-nearest neighbors from scratch in Python – step by step tutorial
Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
franky is a high-level control library for Franka robots, offering Python and C++ support. By providing a high-level control interface, franky eliminates the need for strict real-time programming at 1 ...
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 ...
NRL MSISE-00 atmospheric model for Python. Also accessible via Matlab. Valid from altitude z = 0..1000 km. The plot immediately below shows a slice at 200km on a world-wide grid. The yellow ball ...
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 ...
Abstract: The book situates itself in a unique niche “between proportional-integral-derivative (PID) and model predictive control (MPC),” as a compromise between the tradeoffs and advantages of each.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback