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Kim-Hammar
csle-collector

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

9K 144 27
Kim-Hammar
csle-ryu

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

7K 144 27
Kim-Hammar
csle-cli

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

7K 144 27
Kim-Hammar
csle-system-identification

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

7K 144 27
Kim-Hammar
gym-csle-stopping-game

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

7K 144 27
MRsources
mrzerocore

Python package and documentation for MR-zero

7K 70 24
Kim-Hammar
csle-rest-api

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
csle-common

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
csle-agents

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
csle-defender

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
csle-attacker

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
gym-csle-intrusion-response-game

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
Kim-Hammar
csle-cluster

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

6K 144 27
memodb-io
acontext

Agent Skills as a Memory Layer

5K 3K 314
Kim-Hammar
csle-base

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

4K 144 27
Kim-Hammar
csle-tolerance

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

3K 144 27
Kim-Hammar
gym-csle-apt-game

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

3K 144 27
yakuphanycl
instinct-mcp

Self-learning memory for AI coding agents — pattern detection, confidence scoring, auto-promotion via MCP

3K 1 2
Kim-Hammar
gym-csle-cyborg

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

3K 144 27
Kim-Hammar
csle-attack-profiler

A research platform to develop automated security policies using quantitative methods, e.g., optimal control, computational game theory, reinforcement learning, optimization, evolutionary methods, and causal inference.

3K 144 27
Deepleaper
opc-deepbrain

Pure local self-learning knowledge base. No cloud, no cost, your data stays on your machine.

2K 0 0
Deepleaper
opc-agent

Pure local AI agent with self-learning memory. Zero cloud dependency, runs on your Mac/PC.

933 1 0
ruvnet
wifi-densepose

WiFi-based human pose estimation using CSI data and DensePose neural networks

568 50K 7K
adi1999
agentlearn

Recursive learning framework, give any AI agent a self-improvement loop with memory. No fine-tuning, just API calls

486 0 0
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