Python CLI, REST API, and MCP server for the Deep Learning DIY course

Deep learning experiment station for weather time-series forecasting, powered by Visual Crossing API data.

AI code security scanner MCP server — detects invisible Unicode, Trojan Source, homoglyphs, Glassworm steganography, rules file backdoors, and dependency attacks in AI-generated code. Static analysis + CodeBERT deep learning. Runs locally.

Modern experiment tracking that follows you across servers, messengers, and LLMs.

Schematic capture for neural network architectures. Draw the model, get the numbers, generate the PyTorch.

Linter for LLM fine-tuning datasets: catches broken chats and tool calls, context overflow, leaked keys, PII and eval contamination before you train. CLI, Python API, MCP server, GitHub Action.

Neo MCP server — bring Neo, the autonomous AI engineer for ML, LLM, GenAI & data workflows, into Claude Code, Cursor, Codex & other editors. Describe a task; Neo builds it and writes results to your repo.

Secure Retrieval-Augmented Generation (RAG) with role-based access control using Mastra AI orchestration, with JWT Secure, also Deep Research built with Cedar & Next.js. Gemini, OpenAI, Openrouter, & Gemini CLI usable. Also exposes tools, agents as MCP Server Also A2A Agent Cards

A multi-interface (REST and MCP) server for automatic license plate recognition 🚗

Computational Art Analysis Framework — Brushstroke analysis, style attribution, anomaly screening, and interpretable visual explanations powered by vision transformers.

AI Art Forensics & Analysis Framework — Brushstroke analysis, style attribution, forgery detection, and interpretable visual explanations powered by vision transformers.

Query Wikipedia ZIM archives offline with a hybrid RAG system using Llama.cpp. Build local indexes for private, internet-free knowledge retrieval.

🔍 Streamline your SEO research with free tools designed for AI-powered IDEs, enhancing analysis and compliance with third-party services.

3D vision and medical imaging in one Python package: 73 algorithms, 43 datasets in one line, Open3D / SimpleITK / PyVista, MCP server for AI agents

MCP server for AI mammogram triage: prioritizes BI-RADS 4-5 cases so women reach a radiologist in time. Research tool, not a medical device.

Experiment tracking built for comparison: multi-run charts, targets, baselines, tags and notes in one place. Bring experiments together across your LAN and let AI agents inspect them through a built-in MCP endpoint.

Production diagnostics, analytical VRAM budgeting, ComfyUI/CLI compiler, and Model Context Protocol (FastMCP) bridge for Wan-Video (Wan2.1 & Wan2.2 MoE).

AI chatbot orchestrator — personas, safety-guarded conversations, TTS, VRM avatar, structured language lessons (any language, deep Japanese/JLPT)

3D computer vision and medical imaging in Python: 43 public 3D and medical datasets loaded in one line with manifests and licences, 73 algorithms on point clouds, meshes and CT/MRI volumes (registration, segmentation, reconstruction), one typed object over Open3D, PyVista and SimpleITK, and an MCP server for AI agents.

Deep health checks for modern AI infrastructure — 44 company profiles across 5 regions, 14 compliance frameworks, governance auditing, MCP integration, and trend dashboard