Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
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Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Analyze the security of any domain by finding all the information possible. Made in python.
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Clean PyTorch implementations of imitation and reward learning algorithms
KQL Queries. Defender For Endpoint and Azure Sentinel Hunting and Detection Queries in KQL. Out of the box KQL queries for: Advanced Hunting, Custom Detection, Analytics Rules & Hunting Rules.
Python audio and music signal processing library
An offline deep reinforcement learning library
🔗 Don't know what type of hash it is? Name That Hash will name that hash type! 🤖 Identify MD5, SHA256 and 300+ other hashes ☄ Comes with a neat web app 🔥
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
Bloodhound Reporting for Blue and Purple Teams
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run
Computational framework for reinforcement learning in traffic control
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Malcom - Malware Communications Analyzer
An information security preparedness tool to do adversarial simulation.
What did I do on February 14th 2007? Visualize your (digital) life in Org-mode
learn code with tensorflow
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments
Cloud-native genomic dataframes and batch computing
"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.
Scalable, event-driven, deep-learning-friendly backtesting library
allRank is a framework for training learning-to-rank neural models based on PyTorch.