Matt Todd's repositories
awesome-explainable-graph-reasoning
A collection of research papers and software related to explainability in graph machine learning.
CytoPy
A data-centric flow/mass cytometry automated analysis framework
deepimagej-plugin
The ImageJ plugin to run deep-learning models
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
docker-ipfs-key
Dockerized ipfs-key process image
enterprise_gateway
A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.
FDApy
Python Package for Functional Data Analysis
flowWorkspace
flowWorkspace
headscale
An open source, self-hosted implementation of the Tailscale control server
osx-config
Configuration files / scripts which are used to configure OS X
pihole-local
A super simple PiHole setup for local DNS-over TLS and Unbound
python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
pytometry
Flow & mass cytometry analytics.
shap
A game theoretic approach to explain the output of any machine learning model.
terraform-aws-gitlab-runner
Terraform module for AWS GitLab runners on ec2 (spot) instances