:dart: Accurate sums and dot products for Python.
- mathematics
- numerical-methods
- engineering
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:dart: Accurate sums and dot products for Python.
Mobile runtime detection workbench for AI (iOS and Android)
This repository contains reverse engineering results and resources for a few specific car models of a very specific car manufacturer. Please don't sue.
Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Build, test, deploy, iterate - Dev and prod tool for data science pipelines
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
a feature engineering wrapper for sklearn
Advanced Phishing Protection: Suricata rulesets open and free
Cryptographic Dataset Generation & Modelling Framework
Reverse ETL for the code-first data stack
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
Python Frontend to Algorithms of the Algorithm Engineering Group Heidelberg
Tool for suggesting lemma names in Coq verification projects
Declarative data quality engine. Define checks in YAML, run anywhere.
A detective for your data. Zero-config data quality monitoring — works with dbt, Postgres, BigQuery, Snowflake. No YAML.
A Python library built on pandas and geopandas for linearly referenced data management, engineering, and analysis using the DataFrame accessor pattern (.lr).
Blazingly fast data comparison tool for Python, powered by Rust. Compare massive CSV/Parquet datasets instantly.
ETL scripts for EOS.
Per-repo memory, outcome telemetry, and a calibrated-confidence gate for Claude Code, with MCP and AGENTS.md projections so other AI coding tools can read its context. Notes survive sessions; success claims need test evidence; your reverts are remembered. Local-only, stdlib runtime.
A structured, AI-assisted toolkit for defining hardware products that have software inside — from concept through engineering spec to presentation-ready materials in eight phases.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
Sigma Queries turned into KQL for Defender using pysigma - Automated
Open, audit-grade agentic data quality framework with portable industry packs