Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
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Research experiments exploring uncommon quant techniques.
Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain agents
A ChatGPT-based tool to decode Jupyter notebooks and the similar python notebook environments like Google Colab, etc.
Inference Llama in Common Lisp
Test harness for voice agents. Import from Retell, VAPI, Bland, LiveKit. Run autonomous simulations. Evaluate with LLM judges.
The repository host gives no description.
AION-2-Cheat: Complete Standalone Setup for Aion 2 AI Prompt Engineering
Claude Code Gateway for Kimi, GLM, DeepSeek, and OpenRouter
Aion 2 Trainer Tool: Complete Standalone Setup With Advanced AI Prompt Engineering
AION-2-Cheat: Complete Standalone Setup for Aion 2 AI Prompt Engineering
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
Catch your AI agents when they lie about what they shipped — verifies claims against git instead of believing the agent.
Prompt-injection firewall for LLM applications — 33 input detectors, 9 output scanners, federated ed25519-signed threat-intel feed. Apache 2.0, 1040 tests, F1 96.0% with 0% false positives. Docker, GitHub Action, LangChain/LlamaIndex/CrewAI integrations.
Deterministic quality scorer for AI agent instruction files — 8-dimension scoring with security, multi-format (SKILL.md, CLAUDE.md, .cursorrules, AGENTS.md), anti-gaming detection, zero dependencies
Ideas, tricks, materials with puzzles for AIs and some wetware
AI-Driven Full-Text Screening and Data Extraction for Systematic Reviews and Evidence Synthesis
Errbot backend for VK API (vk.com)
Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
Turn any Java, Kotlin or Python project into an AI-ready context file in one command.
gtfs2vec - Learning GTFS Embeddings for comparing PublicTransport Offer in Microregions
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
Pipeline de ingestão e busca semântica de documentos para RAG — com rate limiting, circuit breaker e fila resiliente.