DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
- agent-framework
- agentic-workflow
- aiforscience
- llm-agents
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DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
Robotic fabrication package for the COMPAS Framework.
Goblet is an easy-to-use framework that enables developers to quickly spin up fully featured REST APIs with python on GCP
Mock an SSH server and define all commands it supports (Python, Twisted)
Micro Framework for MicroPython Boards Managed via MQTT
A framework for receiving and redistributing abuse feeds
A strongly-typed genetic programming framework for Python
code to run sei and obtain sei and sequence class predictions
A CTF framework to create, build, deploy and monitor challenges
Micropython Smarthome framework
Simple framework to extract "actionable" data from Android malware (C&Cs, phone numbers etc.)
CASSIA: A Multi-Agent LLM-Based Single-Cell Cell Type Annotation Framework
Cake Fuzzer is a project that is meant to help automatically and continuously discover vulnerabilities in web applications created based on specific frameworks with very limited false positives.
Build beautiful Slack UIs fast
The NoSQL Honeypot Framework
Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.
A framework for writing Smart Contracts on Algorand
Synthetic Adversarial Log Objects: A Framework for synthentic log generation
Open framework for calculating spatial urban sprawl indices and performing disaggregated population estimates using open data
OpenFlow Switch Test Framework
Pyramid addon for OpenAPI3 validation of requests and responses.
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
🧙 meiga is a Python µframework that provides a simple, fully typed, monad-based result type ➡️ Result[Value, Error].
MicroPython implementation of the Homie MQTT convention for IoT.