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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.

A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.

Tool for translation type comments to type annotations in Python

  • annotations
  • python-3-6
  • source-to-source
  • type-hints

Fish Audio Drama 3 text-to-speech on the TensorFold native CUDA engine for DGX Spark (GB10): recipe, engine patches, benchmarks. Built with Fish Audio.

Re-apply type annotations from .pyi stubs to your codebase.

  • python
  • python3
  • typing
  • type-checking

Local-only browser fingerprint & identity rotation toolkit for authorized security testing. Tor/obfs4, coherent profiles, WebRTC/DNS leak protection.

  • browser-privacy
  • cli
  • fingerprinting
  • identity-rotation