List of resources for learning Category Theory

Tools and experiments from the paper "Tropical Expressivity of Neural Networks"

Red Queen Dataset and data generation template

A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

Agent Security Bench (ASB)

Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)

UCCIX: Irish-eXcellence Large Language Model

A suite of test scenarios for multi-agent reinforcement learning.

A Survey on Large Language Model-Based Game Agents

Code / solutions for Mathematics for Machine Learning (MML Book)

TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a simple linear probe-based method and a more sophisticated m…

aks-auditd provides an easy and highly configurable way to gain visibility into your AKS worker node and container kernel level activity. It does this by using auditd and audit rules mounted in a D…

Alpaca dataset from Stanford, cleaned and curated

Code to generate NeuralExecs (prompt injection for LLMs)

Code for our NeurIPS'24 Dataset and Benchmark paper: Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Small and Efficient Mathematical Reasoning LLMs

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…

Prompt Injection Primer for Engineers

Automatically update the value of your stock portfolio in You Need a Budget

Machine Learning for Alignment Bootcamp

Simple, safe way to store and distribute tensors

Documentation for Cachix service.

A compilation of resources in the software supply chain security domain, with emphasis on open source

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

Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the machine learning model lifecycle from training, to packaging, to…