Source code for Mathematical Modelling Assignment
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Updated
Dec 8, 2023 - Python
Source code for Mathematical Modelling Assignment
Deep-Learning-Optimization-Algorithms-Streamlit-Application
Simple evolutionary computation for the course Data Design Nature Inspired Computing
Template class for performing simulated annealing, along with some example use cases.
Multivariable Numerical Optimization
Python Implementation and Visualization of Numerical Optimization Techniques
Implementation and comparison of SGD, SGD with momentum, RMSProp and AMSGrad optimizers on the Image classification task using MNIST dataset
Algorithm of selective averaging of coordinates (SAC)
Work to store exercises and explorations on Dr. Powell's RLSO.
stochastic adaptive cubic regularization method with negative curvature
Rich Vehicle Rounting Problem (RVRP)
implementation of Hill Climbing algorithm for discrete tasks
Stochastic Second-Order Methods in JAX
Tests convergence of various estimators. In particular, PD and SF/REINFORCE are tested for gaussian and bernoulli latent variables and Synthetic gradients are tested in MNIST Classification (DNI).
Simulated Annealing algorithm
Originally a visualisation tool for solving sudokus using stochastic optimisation that has been optimised utilising a genetic algorithm for research. This project was pushed for a GitHub Developer Member invitation.
Attacking Neural Networks using Stochastic Optimisation
parameter optimization of a reinforcement learning deep Q network with memory replay buffer using genetic algorithm in the snake game. base code for snake env from codecamp
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