Site Index

Site Index

Complete alphabetical listing of all pages on this site.

• (Semi) handcrafted RSS
• 58 bytes of CSS to look great nearly everywhere

A

• About
• Anaconda
• Ansible

B

• Bayesian estimation of changepoints
• Bots
• Brutalist web design

C

• CLI
• Clojure
• Coconut
• Containerised Streaming Data Generation using State-Space Models
• Containers
• Cookiecutter data science
• Correlation matrix
• Counterfactual Fairness in Java
• Counterfactual Fairness
• Counterfactuals with Constraint Solvers
• Counterfactuals

D

• Digital Garden
• Distance metrics
• DLIME
• DOOM Emacs
• Drools
• Dunn index

E

• Elisp snippets
• Elisp
• Emacs cookbook
• Emacs Quarkus
• Emacs
• Error metrics
• Explainability
• Extending JUnit

F

• Fairness in Machine Learning
• Feature scaling
• Fedora
• Flask
• Food

G

• Gaussian Process Regression
• Gemini
• Generative AI Tools and Frameworks
• Generative AI and Large Language Models
• Gibbs Sampler in Crystal, A
• Git cookbook
• Git
• GitHub actions
• GitHub
• Go filesystem operations
• Go resource bundling
• Go
• Gower distance
• GPG
• GraalVM
• Grad-CAM
• Gradient-free optimisation
• Gradient-less counterfactuals
• gulp

H

• Hill-climbing optimisation
• HTML
• Hugo

I

• Introduction to Balanced Box-Decomposition Trees
• Introduction to Isolation Forests

J

• Java build systems
• Java Completable Futures
• Java consumer
• Java streams
• Java
• JPype
• JUnit

K

• K-means clustering
• k3s
• k8s operators
• Kernel functions
• KinD
• KNative
• Kompose
• Kotlin
• Kourier
• KServe
• Kubernetes
• Kustomize

L

• Langton’s ant
• Language performance metrics
• LaTeX
• Linux admin
• Llama Stack
• LLM evaluation
• Low-Rank Adaptation of Large Language Models (LoRA)

M

• Machine learning

M

• Machines
• Maven
• MCMC notifications
• MCMC performance on substrate VM
• Minikube
• Model fairness
• Model performance metrics
• Model serving
• ModelMesh
• Monotonic Cubic Spline interpolation (with some Rust)

N

• Navi
• Neovim
• now

O

• OOB score in random forests
• OpenShift
• Optimising random forest hyperparameters

P

• Pandas basics
• Pandas
• Pikchr
• Plan 9
• Podman
• Portuguese Christmas recipes
• Programming
• pytest
• Python Abstract classes
• Python code style
• Python dependency management
• Python environments
• Python grammar of graphics
• Python monkey patching (for readability)
• Python Pweave
• Python testing
• Python typing
• Python

Q

• Quarkus

R

• RAGAS - RAG Assessment Framework
• Random Forest
• Random walk
• Reading list
• Refactoring
• Retrieval-Augmented Generation (RAG)
• RHODS
• ROC
• Root Mean Squared Error
• RSS
• Rust

S

• Scala cookbook
• Scala
• Scikit-learn
• Scratch to Emacs, The Adventurous Configurator’s Handbook, From
• Serving models with Seldon
• SHAP Background for cold start
• Shell configurations
• Shell tricks
• simple Python benchmark exercise, A
• Site details
• SMILE library
• Software Engineering
• Spearman correlation
• SSH
• Statistical dependence
• streaming ALS implementation, A
• Streaming anomaly detection
• Streaming statistics
• Stuff I did in 2023
• Syncthing
• Synthetic Data Generation with SDV
• Synthetic Data Generation
• Synthetic data with SDV and CopulaGAN
• Synthetic data with SDV and CTGAN
• Synthetic data with SDV and Gaussian copulas

T

• t as mixture of Normals
• Thompson sampling
• Time-series analysis
• Transformation functions
• Transformers
• TrustyAI
• TrustyAI-KServe conversions
• Typescript
• Typography

U

• Unfairness detection
• Unit testing
• Universal and Transferable Adversarial Attacks on Aligned Language Models
• UNIX philosophy
• UNIX

V

• Vim keys
• Vue

W

• Workflow

X

• XGBoost

Z

• zsh