a socket mock framework - for all kinds of socket animals, web-clients included
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EVTXtract recovers and reconstructs fragments of EVTX log files from raw binary data, including unallocated space and memory images.
A Python package for molecular docking with an extensive, highly-curated dataset and a set of realistic benchmark tasks for drug discovery.
SuperGhidra: Autonomous Agent Reverse Engineering, Lock-Free Ghidra Daemon & C++ Recovery Suite
- arm64
- binary-analysis
- decompiler
- disassembler
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
AI-assisted Windows and Chrome GUI delegation for Codex: task contracts, local execution, Jev semantic decisions, recovery and outcome verification.
LLM for Drug Editing, ICLR 2024
- chatgpt
- conversation
- drug
- drug-discovery
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
- self-attention
- compound-protein-interaction
- transformercpi
- structure-free-virtual-sreening
DiscoveryRSI: Recursively Learning to Discover Valuable Hypotheses
- agent-framework
- agentic-workflow
- aiforscience
- llm-agents
GLM 5.3 Uncensored — 35 jailbreak prompt files, model guide and API access. One RouterHub key also covers GPT, Claude, DeepSeek, Qwen and Grok.
- abliterated-models
- ai-api
- ai-jailbreaks
- anthropic-compatible
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.
- cybersecurity
- hacking
- iast
- dast
TypeDB Bio: Biomedical Knowledge Graph
- bioinformatics
- knowledge-graph
- knowledge-base
- drug-discovery
MDNS implementation for MicroPython with Service Discovery
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
- computational-biology
- bioinformatics
- graph-convolution
- deep-learning
AI-powered platform for OSINT intelligence analysis. Features archive discovery with hypothesis-driven investigation, GLiNER entity extraction, Mapbox geospatial visualization, network analysis, and document processing. Built with FastAPI, Next.js, Weaviate, and DSPy.
- ai-agents
- document-processing
- dspy
- entity-extraction
Make your Chromecast devices discoverable and controllable via MQTT.
- chromecast
- chromecast-device
- python
- python3
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
Broadcast to IP conversion for Wifi indoor coverage
MicroPython module which allows to create Entites for HomeAssistant using MQTT Discovery
Generative models for transcriptomic-driven or protein-driven molecular design (PaccMann^RL).
- deep-reinforcement-learning
- generative-model
- vae
- molecule-generation
A Python framework that uses machine learning algorithms to implement the metadata recovery attack against obfuscated programs.
Python toolkit for discovering, monitoring, and controlling Tasmota devices via MQTT with CLI utilities and ready-to-use multi-arch Docker images
- automation
- cli
- control
- device-management