aidansmyth95
Masters graduate in Electronic Systems at DCU & SJSU. Interests: sensors, machine learning, wireless and IoT.
Pinned Repositories
AlgoExpertSolutions
awesome-tiny-object-detection
🕶 A curated list of Tiny Object Detection papers and related resources.
Boston-Housing-Prices
Exploration of dataset and regression of house prices for Boston housing dataset.
California-House-Prices-1990
Estimating California house prices based on the 1990 Census dataset.
Coursera-ML-Exercises
Coursera exercises from Andrew Ng's machine learning course
Crytpographic-Coprocessor
Design, synthesis and testbench for a cryptographic coprocessor. Designed using the Xilinx ISE. Coded in VHDL & Verilog. The coprocesor contains lookup tables, an ALU and a shifter.
Mahjong-Game
A Mahjong Game, later to include Andoid and an AI Opponent
Masters-Project-Characterization-of-Reflectors-in-a-Wireless-Channel
Source code for Master's Portfolio titled: "Characterization of Reflectors in a Wireless Channel to Aid Low-Power Indoor Localization"
TF2-Template
A TensorFlow 2 template / boilerplate repo for MNIST model training and evaluation.
Undergraduate-Final-Year-Project---Sensor-Fusion
An Investigation of Off-Chip and On-Chip Sensor Fusion Solutions for Position and Orientation Estimation
aidansmyth95's Repositories
aidansmyth95/Crytpographic-Coprocessor
Design, synthesis and testbench for a cryptographic coprocessor. Designed using the Xilinx ISE. Coded in VHDL & Verilog. The coprocesor contains lookup tables, an ALU and a shifter.
aidansmyth95/AlgoExpertSolutions
aidansmyth95/awesome-tiny-object-detection
🕶 A curated list of Tiny Object Detection papers and related resources.
aidansmyth95/Boston-Housing-Prices
Exploration of dataset and regression of house prices for Boston housing dataset.
aidansmyth95/California-House-Prices-1990
Estimating California house prices based on the 1990 Census dataset.
aidansmyth95/Coursera-ML-Exercises
Coursera exercises from Andrew Ng's machine learning course
aidansmyth95/Mahjong-Game
A Mahjong Game, later to include Andoid and an AI Opponent
aidansmyth95/Masters-Project-Characterization-of-Reflectors-in-a-Wireless-Channel
Source code for Master's Portfolio titled: "Characterization of Reflectors in a Wireless Channel to Aid Low-Power Indoor Localization"
aidansmyth95/TF2-Template
A TensorFlow 2 template / boilerplate repo for MNIST model training and evaluation.
aidansmyth95/Undergraduate-Final-Year-Project---Sensor-Fusion
An Investigation of Off-Chip and On-Chip Sensor Fusion Solutions for Position and Orientation Estimation
aidansmyth95/Decision-Trees
Experimenting and Visualizing Decision Trees using Sklearn
aidansmyth95/deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
aidansmyth95/Enron-Machine-Learning-Spam-Filter
iPython Notebook containing a SciKitLearn implementation of several different ML methods to classify spam emails from the Enron dataset
aidansmyth95/Ensemble-Learning-and-Random-Forests
Experiments and Visualizations using Sklearn's APIs for Ensemble Learning and Random Forests
aidansmyth95/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
aidansmyth95/keras
Deep Learning for humans
aidansmyth95/keras_imagenet
Code for training Keras ImageNet (ILSVRC2012) image classification models from scratch
aidansmyth95/MFCC-Serialization
Audio feature spectral serialization
aidansmyth95/models
Models and examples built with TensorFlow
aidansmyth95/SVMs
SVM Examples and Visualizations
aidansmyth95/Training-Linear-and-Polyomial-Models-using-Sklearn
Training linear and polynomial regression models using different gradient optimization techniques and visualizations.