Dave Powell's Projects
My octave exercises for 2014 stanford machine learning class
implementations of machine learning algorithms in Matlab/Octave
Framework to streamline use of neural networks
A repository filled with various data science projects.
octave exercises for 2014 stanford machine learning class on coursera
Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector
A tool to generate generative NFT art projects.
my octave exercises for 2011 stanford machine learning class, posted after the due date of course
Machine Learning by Andrew Ng (Stanford)
Stanford Machine Learning homework assignments
Get up and running with large language models locally
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
ProjectQ: An open source software framework for quantum computing
The Python Code Tutorials
torch-optimizer -- collection of optimizers for Pytorch
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
WARNING: This package has been deprecated. Please use the SageMaker Training Toolkit for model training and the SageMaker Inference Toolkit for model serving.
SageMaker Workshop
This is the PyTorch implementation of work presented in 'Modelling Context with User Embeddings for Sarcasm Detection in Social Media' (https://arxiv.org/pdf/1607.00976.pdf). We further extend the approach by proposing a hybrid NN architecture and perform experiments on a newly collected data.
Image Gallery Demo for Unsplash in PHP and Laravel.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Standard library.
Data and code of my Medium story on stock prediction with TensorFlow
Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Computation using data flow graphs for scalable machine learning
Deep learning library featuring a higher-level API for TensorFlow.
Volusion seed project for the AngularJS framework