jphall663

ph_'s starred repositories

llm-security

New ways of breaking app-integrated LLMs

Language:Jupyter NotebookMIT170300

solas-ai-disparity

A Python Library of Curated Disparity Testing Metrics for Use in Real-World Settings

NOASSERTION3200

fairCorrect

Fairness correction through parametrised resampling

Language:Jupyter NotebookGPL-3.0200

awesome-interpretable-machine-learning

Language:Python90300

private-ai-resources

SOON TO BE DEPRECATED - Private machine learning progress

MIT46900

benchm-databases

A minimal benchmark of various tools (statistical software, databases etc.) for working with tabular data of moderately large sizes (interactive data analysis).

Language:R9000

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

MIT1654500

woe

Tools for WoE Transformation mostly used in ScoreCard Model for credit rating

Language:PythonMIT25400

themis-ml

A library that implements fairness-aware machine learning algorithms

Language:Jupyter NotebookMIT12300

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT2192900

PDPbox

python partial dependence plot toolbox

Language:Jupyter NotebookMIT82900

interpretable-ml-book

Book about interpretable machine learning

Language:Jupyter NotebookNOASSERTION470800

beamercolortheme-owl

A Beamer colour theme that maximizes visibility in dark and unfavourable conditions

Language:TeXLPPL-1.3c28200

Kaggle_Starters

This Repository includes files for 2 Kaggle Contests: Digit Recognizer, House Prices

Language:Jupyter Notebook300

mlp-example

Code for a simple MLP (Multi-Layer Perceptron)

Language:HTML5100

mli-resources

H2O.ai Machine Learning Interpretability Resources

Language:Jupyter Notebook47900

CodeHub

CodeHub is an iOS application written using Xamarin

Language:C#2288100

lime

Lime: Explaining the predictions of any machine learning classifier

Language:JavaScriptBSD-2-Clause100

The SAS Scripting Wrapper for Analytics Transfer (SWAT) package is the Python client to SAS Cloud Analytic Services (CAS). It allows users to execute CAS actions and process the results all from Python.

Language:PythonNOASSERTION14400

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

Language:JavaScriptMIT5952500

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Language:PythonNOASSERTION6405900

benchm-ml

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Language:RMIT186700