Kyle Dunovan's Projects
Materials for Neurohackademy 2018 lectures, tutorials, etc.
Directory of Neurohackademy 2018 projects
Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic
Extracts the historic word occurrence of a search term in academic papers
Code for the paper "Adaptive Transformers for Learning Multimodal Representations" (ACL SRW 2020)
Repository for code and lab resources for "Neural and Cognitive Models of Adaptive Decision Making" course (2018)
Authorship Verification in Social Media via Attention-based Similarity Learning
Open source code from the blog posts at https://ilievskiv.github.io/
https://madewithml.com/
Personal Website
An implementation of the Augmented Random Search algorithm
Assignments for COGS 108.
A curated list of awesome Jupyter projects, libraries and resources
A curated list of awesome JupyterLab extensions and resources
A curated list of references for MLOps
A curated list of articles that cover the software engineering best practices for building machine learning applications.
Game-playing ANNs that use a stumbler-strategist architecture.
Bayesian Adaptive Direct Search (BADS) optimization algorithm for model fitting in MATLAB
BAyesian Model-Building Interface (BAMBI) in Python.
A python tutorial on bayesian modeling techniques (PyMC3)
Building a Bayesian deep learning classifier
Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.
Keras implementation of BERT with pre-trained weights
Bayesian estimation supersedes the t test
Basal Ganglia model in NEST with dopaminergic modulation
for code created as part of http://studywolf.wordpress.com
Personal Blog