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MLflow deployment plugin for Modal serverless GPU infrastructure
ACL Findings benchmark for measuring LLM sycophancy and correction selectivity
MLflow tracing adapter for omnigent agents. One span per StreamHooks callback, one trace per turn.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, an…
Workshop: Evaluating LLM Applications with MLflow - ODSC AI West 2026
MLflow integration for Inspect AI: experiment tracking, execution tracing, and Scout analysis
Virtual whiteboard for sketching hand-drawn like diagrams
An extremely fast Python linter and code formatter, written in Rust.
An extremely fast Python package and project manager, written in Rust.
Data validation using Python type hints
FastAPI framework, high performance, easy to learn, fast to code, ready for production
The Python micro framework for building web applications.
Adding guardrails to large language models.
An open-source, code-first Py 8000 thon toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
🐢 Open-Source Evaluation & Testing library for LLM Agents
LlamaIndex is the document processing platform for AI
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while control…
Security scanner and hardener for agentic AI installations - OpenClaw, MCP servers, and AI agent skill ecosystems
Security-hardened MCP server for Excalidraw with API key auth, rate limiting, real-time WebSocket sync, and 14 diagramming tools
Evaluation and Tracking for LLM Experiments and AI Agents
Production-oriented vector database benchmark framework with novel metrics: temporal drift, cost modeling, and operational complexity
Production-ready Databricks Asset Bundle for cross-region ML model serving using Delta Sharing. Deploy models and feature tables across workspaces with zero-copy data access and automated online fe…
End-to-end MLOps workshop on Databricks — learn how to train, track, register, and deploy ML models using PyTorch, MLflow, and Unity Catalog, with extensions to LLMOps via Mosaic AI.
This repo contains code mentioned in the Understanding Pandas UDF in Apache Spark 3.0 article.
All the resources related to GenAI hands on workshop.