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  1. mcp-server-powerpoint sbroenne PowerPoint MCP Server & CLI - 18 tools, ~98 operations for AI-powered PowerPoint automation via COM… Platform: Installation · VS Code: VS Code sbroenne
  2. mcp-server-qdrant Qdrant An official Qdrant Model Context Protocol (MCP) server implementation Name: Description · QDRANT_URL: URL of the Qdrant server Qdrant
  3. mcp-summarization-functions Braffolk Provides summarised output from various actions that could otherwise eat up tokens and cause crashe… Braffolk
  4. mcp-windows sbroenne Let AI agents control Windows applications. Click buttons, type text, toggle settings — all by name… Tool: Purpose · ui_snapshot: Capture a compact element tree of a window (orient first) sbroenne
  5. mcp2cli knowsuchagency Turn any MCP, OpenAPI, or GraphQL server into a CLI — at runtime, with zero codegen knowsuchagency
  6. md2md stainlu Build a complex AI tool. No coding knowledge required. · License unknown · Maintenance unknown stainlu
  7. md4 Google DeepMind Official Jax Implementation of MD4 Masked Diffusion Models Google DeepMind
  8. md5-hex sindresorhus Build a complex AI tool. No coding knowledge required. · License unknown · Maintenance unknown sindresorhus
  9. mdast-util-gridtables Adobe mdast extension to parse and serialize gridtables Adobe
  10. mdflux ibrahimqureshae Turn any document into clean, AI-ready Markdown. Local-first desktop app: reads scanned PDFs, batch… Scanned, image-only PDF: Usable tokens of text · Plain text extractor: 0 ibrahimqureshae
  11. mdk3 aircrack-ng MDK3 tool by ASPj aircrack-ng
  12. mdk4 aircrack-ng MDK4 aircrack-ng
  13. measured Shopify Encapsulate measurements and their units in Ruby and Ruby on Rails. Multiplying Factor: SI Prefix · 1 000 000 000 000 000 000 000 000: yotta (Y) Shopify
  14. mechvqa xiaofengshi MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understandi… Component: Status · Inference scripts (SFT & RL, dual-mode): ✅ Ready xiaofengshi
  15. MedAgentBench stanfordmlgroup MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents This repository… stanfordmlgroup
  16. MedFlow-ChatTune YuanLab The conversational fine-tuning agent: process data, train, evaluate, and deploy LLMs with natural l… Capability: Description · Conversational fine-tuning: Start jobs with natural language. When parameters are missing, the agent explains and requests them instead of requiring a complete training command. YuanLab
  17. media Adobe Jetpack Media3 support libraries for media use cases, including ExoPlayer, an extensible media play… Adobe
  18. media-stack navilg A self-hosted stack for media management and streaming, with AI-powered movie and show recommendati… navilg
  19. mediapipe google Cross-platform, customizable ML solutions for live and streaming media. google
  20. medicaldetectiontoolkit MIC-DKFZ The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such a… GPU: arch · TitanX: sm_52 MIC-DKFZ
  21. MedicalZooPytorch black0017 A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation black0017
  22. MediX-R1 mbzuai-oryx Open Ended Medical Reinforcement Learning Model: HuggingFace · MediX-R1-2B: MBZUAI/MediX-R1-2B mbzuai-oryx
  23. MedNeXt MIC-DKFZ [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation. Name (Model ID): Kernel Size · Small (S): 3x3x3 MIC-DKFZ
  24. MedXpertQA TsinghuaC3I [![Static Badge](https://img.shields.io/badge/arxiv-2501.18362-ff0000?style=for-the-badge&labelColo… TsinghuaC3I
  25. meeting-2-code danielmeppiel Demonstrate end to end Agentic SDLC on Microsoft stack, From a Teams meeting (WorkIQ) intent to aut… Step: What happen · 1. Extract: 1. Extract danielmeppiel
  26. MEG-XL neural-processing-lab Code for Split: Dataset · Pre-training: CamCAN neural-processing-lab
  27. Megacity-2019 Unity Technologies Contents and Quick Links Contents and Quick Links Megacity Multiplayer Overview Megacity Multiplaye… Input: Action · Mouse Movement / Arrow Keys: Steering Unity Technologies
  28. MegaQwen Infatoshi Qwen3-0.6B megakernel: 527 tok/s decode on RTX 3090 (3.8x faster than PyTorch) Backend: Decode (tok/s) · TensorRT-LLM: 355 Infatoshi
  29. Megatron-Energon NVIDIA Megatron's multi-modal data loader Command: Description · energon prepare DATASET_ROOT: Take an existing WebDataset and add the required yaml files to turn it into an energon-compatible dataset NVIDIA
  30. Megatron-LM Arcee AI domain adapted MOE training Model Size: Model FLOPs Utilization · 22B: 41.5% Arcee AI
  31. Megatron-LM NVIDIA Ongoing research training transformer models at scale NVIDIA
  32. Megatron-LM-Llama-70B Arcee AI Ongoing research training transformer models at scale Non-distributed optim: Distributed optim · fp16 param, fp16 grads: 20 Arcee AI
  33. MegaTTS3 ByteDance Megatts3 ByteDance
  34. MegaVIT kyegomez The open source implementation of the model from Dataset: Domain · JFT (training set): Internet images kyegomez
  35. MELD declare-lab MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation Statistics: Train · # of modality: {a,v,t} declare-lab
  36. melody cohere-ai Templating rendering and generation parsing for Cohere models. cohere-ai