toqito is an open-source Python library for studying quantum information and quantum computing. It provides a comprehensive suite of tools for working with quantum states, channels, measurements, a...
TypeScript-based web interface for the initiative and AQI monitoring.
Python backend API handling Open-Meteo and AirGradient sensor data processing. As well as being publicly available to access, either freely or through the apps/website/bot.
Android application for hyper-local AQI monitoring.
Python-based Discord bot for community data access and engagement.
iOS application for AQI monitoring (Work in Progress).
Supply chain security for LLM artifacts using Sigstore, in-toto, and SLSA frameworks. Generates signed attestations for model weights, training data, and inference outputs.
Multi-modal safety evaluation benchmark for AI systems. Covers 20 hazard categories and 9 attack strategies aligned with MLCommons AI Safety standards.
Policy-first retrieval-augmented generation gateway with PHI/PII redaction, access control, and audit logging. Self-hostable with no mandatory cloud dependencies.
Multi-modal AI content detection and C2PA provenance verification across text, images, audio, and video. Explainable confidence scoring with signal-by-signal breakdown.
Cryptographic ledger for AI output verification using Merkle trees and digital signatures. Tracks, timestamps, and proves the authenticity of AI-generated content with tamper-evident audit trails.
Kubernetes-native observability tool using eBPF to capture kernel signals and correlate them with OpenTelemetry traces for LLM SLO attribution.
Rule-driven scanner that checks AI systems against EU AI Act, UK AI regulations, and NIST AI RMF requirements. Deterministic pass/warn/fail scoring.
CLI pipeline that pulls model metadata from HuggingFace, W&B, and MLflow, runs fairness analysis, checks EU AI Act compliance, and exports model cards.
Runtime firewall that detects and blocks prompt injection attacks against LLM applications. Covers OWASP LLM Top 10 attack vectors with configurable detection rules.
Transparent proxy for multi-provider LLM cost tracking, budgeting, and optimization. Supports OpenAI, Anthropic, Azure, Bedrock, and Vertex AI with real-time cost headers.
ARx is a programming language that targets multi-architecture native code and integrates directly with Apache Arrow through LLVM-based code generation.
IRx is a Python library that serves as the LLVM backend for ARXLang, enabling high-level ASTx programs to be compiled into executable machine code.
Makim is a YAML-based task automation tool focused on task definition, dependencies, and conditional execution.
SciArx is a scientific computing library written in ArxLang, with native Apache Arrow datatype support.