Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation
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Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
🎲 Dotflow turns an idea into flow! — Lightweight Python library for execution pipelines
Fetch and normalize parameterized URLs from the Wayback CDX API (OSINT, inspired by ParamSpider).
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HTTP honeypot on autopilot
An execution engine for the Golem Network
An execution policy for pyramid that handles retryable errors.
Yosai integration with the Pyramid Web Framework
Code for the experiment proposed in Section 4.2 of the paper "The Bouncer Problem: Challenges to Remote Explainability".
Stream-first CAN & J1939 toolkit for security research and AI agents — typed JSONL events, CLI, TUI, fuzzing, MCP server.
Implementation of the packing detection heuristic from the paper "Packed PE File Detection for Malware Forensics" of Han et al.
A Single Library Parser to extract meta information,static analysis and detect macros within the files.
Python based application to pull data plan usage for different carriers such as Telus and Koodo
Sigma Queries turned into SPL for Splunk Enterprise and Enterprise Security using pysigma - Automated