Name: Richard Hackathorn
Type: User
Company: Bolder Technology
Bio: Wandering in Latent Space (WILS) -- mapping & understanding fine local manifold structures of semantic clusters within hi-dim metric spaces.
Twitter: hackathorn
Location: Boulder, CO USA
Blog: https://www.linkedin.com/in/hackathorn/
Richard Hackathorn's Projects
A series of sample code projects to be used for educational purposes during Alexa hackathons and workshops, and as a reference for tutorials and blog posts.
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
Public facing notes page
required repo for Leek's course
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
A collection of various deep learning architectures, models, and tips
U-Net Segmentation Approach to Cancer Diagnosis for Kaggle Data Science Bowl 2017
Code repository for Deep Learning with Keras published by Packt
ESSL fork using WandB MLOps
Exploring Hi-Dimensional Latent Space with Unity/Quest
to be transfer to HacksHaven
Experiments in Unity to create simulations of audio and visual imparements in augmented reality.
Code from book by Davy Cielen, Arno D. B. Meysman, and Mohamed Ali
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
IA world using classifiers of the Iris dataset
Repo of Jupyter notebooks from and related to Kaggle competitions.
Implementing a ChatGPT-like LLM from scratch, step by step
Exploring N-dimensional latent spaces generated by neural variational autoencoders
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Source Code for the book: Machine Learning in Action published by Manning
🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) [NeurIPS 2021] 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.
Unity Machine Learning Agents
A library of extension and helper modules for Python's data analysis and machine learning libraries.
Applying WILS to MNIST dataset
Clustering PDF papers into multi-category clusters as knowledge graph
Notebooks and Python to convert NetCDF file to 3D Textures
Obsidian tools - a Python package for analysing an Obsidian.md vault
Python module to interface with OpenML