pytorch-optimizer VS PythonPID_Tuner

What are some alternatives?

sam - SAM: Sharpness-Aware Minimization (PyTorch)

AeroVECTOR - Model Rocket Simulator oriented to the design and tuning of active control systems, be them in the form of TVC, Active Fin Control or just parachute deployment algorithms on passively stable rockets. It is able to simulate non-linear actuator dynamics and has some limited Software in the Loop capabilities. The program computes all the subsonic aerodynamic parameters of interest and integrates the 3DOF Equations of Motion to simulate the complete flight.

DemonRangerOptimizer - Quasi Hyperbolic Rectified DEMON Adam/Amsgrad with AdaMod, Gradient Centralization, Lookahead, iterative averaging and decorrelated Weight Decay

pytuneOPC - PID Logger, Tuner and FOPDT Simulator using OPC-UA

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

imagenette - A smaller subset of 10 easily classified classes from Imagenet, and a little more French

simple-sam - Sharpness-Aware Minimization for Efficiently Improving Generalization

RAdam - On the Variance of the Adaptive Learning Rate and Beyond

AdasOptimizer - ADAS is short for Adaptive Step Size, it's an optimizer that unlike other optimizers that just normalize the derivative, it fine-tunes the step size, truly making step size scheduling obsolete, achieving state-of-the-art training performance