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AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"

Self-improving code for any git repo: give it a measurable goal, a coding agent (Claude Code or Aider) proposes changes, the kernel scores them, keeps winners and rolls back failures. Open-source AlphaEvolve / FunSearch-style evolution loop, sandboxed, with an auditable ledger.

CRAB (Clean Rebuild of Anything's Behavior): rebuild software from behavior, not source code. An MCP-powered toolkit for black-box observation, clean-room reimplementation, and behavioral verification.

  • clean-room-reimplementation
  • ai-agents
  • behavioral-testing
  • black-box-testing

RAG over GitHub issues, with a hand-reviewed eval set and an audit of the judge itself. Reports the interval, not just the best number.

  • evaluation
  • github-issues
  • llm
  • llm-as-judge

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

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

[Tech Report] Simplifying and Improving On-Policy Distillation for Few-step Diffusion

  • diffusion
  • distillation
  • few-step-generation