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Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

Turkish voice design with VoxCPM2 on a 4 GB GPU: describe a voice, pick a variant, read text in 30 languages. Patched audio.cpp, local UI in 30 languages, 14 ready-made voices.

  • cuda
  • ggml
  • low-vram
  • speech-synthesis

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.

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.

Translated🎬 AI Video Creation Workflow for AIGC creation | Use AI to make videos, pixel animations, and comic shorts | Storyboards, assets, music, templates, and runnable Python examples | Blender layered animation and 剪映 (Jianying, "CapCut") production methods

Generate and maintain stubs for different MicroPython ports to use with VSCode and Pylance, PyRight, Thonny, PyCharm or MyPy

  • micropython-stubs
  • micropython-stubber
  • firmware-stubs
  • python