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approximaterl_cartpole

conditionbasedmaintenanceplanner_rlapproach

It contains a python-based survival analysis model to study the lifetime of machines in a 3-unit flowline production system, The simulation environment to be used with the RL algorithm for maintenance planning, Q-learning algorithm based maintenance policy, corrective and preventive maintenance policy simulations for comparison.

encodertransformerarchitecture-fromscratch

An EncoderTransformer Architecture developed from scratch using pytorch's neural network module as the base class. The developed model used for sentiment analysis and time series prediction tasks.

encodertransformerarchitecture_cmapps

An encoder-transformer architecture-based framework for multi-variate time series prediction with a prognostics use case.

engineeringoptimization-pso-alm

hyperparameteroptimizationand-selection

Examining the effect of hyperparameters and Exploring the relationship between hyperparameters through experimentation: Building, Training, and Tuning an Image Classification Model with TensorFlow and PyTorch – A CIFAR-10 dataset Use case.

improvedresidualsimilaritybasedmodels-rulprediction

Prognostics Strategies: Residual Similarity-Based Models

mechatronicsystemdesign-automaticics

ogunfool

Config files for my GitHub profile.

robust-multi-class-logistic-regression-with-python-from-scratch-using-object-oriented-programming.

An object-oriented programming based multi-class logistic regression algorithm with python (Numpy) - and compared with Scikit learn implementation on MNIST dataset.

timeseriesdataforecasting

Time series data forecasting