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[arXiv 2026] Unified Audio-Video Creation via Progressive Training and Asymmetric Scheduling

  • audio-to-video
  • joint-audio-video-generation
  • unified-model
  • video-to-audio

Fast, exact inference for StartLux-Decision models on NVIDIA GPUs: the released GGUF files on int8 and 4-bit tensor cores, behind the /v1/systemone API, with up to 5.3× lower latency than vLLM in FP8 and bit-identical answers.

  • calibration
  • cuda
  • cuda-graphs
  • decision-making

INGInious is a secure and automated exercises assessment platform using your own tests, also providing a pluggable interface with your existing LMS.

Comprehensive wrapper and execution manager for the Chrome browser using the Chrome Debugging Protocol.

  • chrome
  • python
  • chromium
  • use-less-jerberscript

RAFCON (RMC advanced flow control) uses hierarchical state machines, featuring concurrent state execution, to represent robot programs. It ships with a graphical user interface supporting the creation of state machines and contains IDE like debugging mechanisms. Alternatively, state machines can programmatically be generated using RAFCON's API.

  • robotics
  • graphical-programming
  • state-machine

TranslatedAn agent development practice room based on LangGraph subgraphs: requirement clarification, user notes, document generation, and human review.

Toggle the iPhone call-recording announcement on/off from a Windows GUI, built on the airlift AirTraffic sandbox escape.

  • airlift
  • airtraffic
  • ios
  • sandbox-escape

Batched NVIDIA MotionBricks: generate the motion of hundreds of characters in one model call.

  • character-animation
  • crowd-simulation
  • motion-generation
  • motionbricks

Nosis is a lightweight personal agent runtime: per-session execution boundaries with OS-level sandboxing, computer use, a full built-in toolset, Skill / Plugin / MCP extensions, one runtime shared by GUI and TUI, and file-persisted sessions, plans, and memory.

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.