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"Security Incidents In A Box!" A modular, menu-driven, cross-platform tool for building customized, time-delayed, distributed security events. Easily create custom event chains for Blue- & Red Team drills and sensor / alert mapping. Red Teams can create decoy incidents, distractions, and lures to support and scale their operations. Build event sequences ("narratives") to simulate realistic scenarios and generate corresponding network and filesystem artifacts.

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

  • calcium-imaging
  • deconvolution
  • source-extraction
  • motion-correction

This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

A python library for real-time audio time-scale modification procedures

  • python
  • numpy
  • gstreamer-plugins
  • time-scaling

Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence

  • fat-tails
  • finance
  • kurtosis
  • market-simulation