Repository Index

Python Toolkit for Causal and Probabilistic Reasoning

• python
• bayesian-networks
• causal-inference
• causal-discovery

Barman - Backup and Recovery Manager for PostgreSQL

• postgres
• backup
• recovery
• disaster-recovery

Message Passing Neural Networks for Molecule Property Prediction

• machine-learning
• chemistry
• neural-networks
• drug-discovery

Chai-1, SOTA model for biomolecular structure prediction

SQL Lineage Analysis Tool powered by Python

• data-discovery
• data-lineage
• lineage
• metadata

A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.

• 100daysofcode
• cpp
• esp32
• esp8266

APT-Hunter is Threat Hunting tool for windows event logs which made by purple team mindset to provide detect APT movements hidden in the sea of windows event logs to decrease the time to uncover suspicious activity

• threat-hunting
• purpleteam
• python3
• windows-eventlog

A virtual host scanner that performs reverse lookups, can be used with pivot tools, detect catch-all scenarios, work around wildcards, aliases and dynamic default pages.

• security-audit
• penetration-testing
• penetration-test
• virtual-hosts

Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

• machine-learning
• generative-models
• drug-discovery
• benchmark

Reconcile stuck AI-agent tasks after restarts and timeouts. Preview SQLite changes, close stale delivery states, and never guess success.

• agent-runtime
• python
• sqlite
• task-state

Python package for graph neural networks in chemistry and biology

• deep-learning
• graph-neural-networks
• dgl
• cheminformatics

Backup and recovery manager for PostgreSQL

• backup
• incremental-backups
• restore
• archiving

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

• deep-learning
• pytorch
• deep-chemistry
• graph-neural-network

OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

• computational-chemistry
• computational-biology
• deep-learning
• deep-neural-networks

Learning to Recover from LLM Agent Failures at Test Time

A 'resilient' asynchronous MQTT driver. Recovers from WiFi and broker outages.

The Agentic Scientist: Orchestrating Coding Agents for Automated Scientific (Co-)Discovery

Music discovery tool that provides recommendations based on selected Lidarr artists, using Spotify or LastFM.

AI-first external attack surface assessment with continuous discovery, evidence-based vulnerability validation, and developer-agent MCP integration.

• ai
• attack-surface-management
• bbot
• cybersecurity

Molecular Processing Made Easy.

• python
• molecule
• rdkit
• drug-discovery

Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.

• ai-agents
• claude-code
• mcp
• token-optimization

Community Discovery Library

• community-discovery
• complex-networks
• community-evaluation
• cdlib

TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.

• mcp
• claude
• claude-code
• cursor

Evidence-based DSM ransomware recovery: preservation, RAM key recovery, copy decryption, and GitLab validation.