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This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data

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

Ruby library to perform server-side tracking into the official Google Analytics Measurement Protocol

  • ruby
  • google-analytics
  • analytics
  • analytics-tracking

Phoebus is a distributed framework for large scale graph processing written in Erlang.

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.

A framework for automated extraction of static and dynamic features from Android applications

  • android-malware-detection
  • android-analysis

Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.

  • hubmap
  • imaging
  • openmicroscopy
  • ome-tiff

TranslatedLanpose generates images of the community whale-girl Dafeiyu from pose sketches and costumes, and installs into DeepSeek Harness. (澜姿 (Lanzi, "Lan pose"): from pose line art and costume sets, produce images for the community whale-girl model Dafeiyu, adjust poses and change outfits, and it can also be installed into DeepSeek Harness.)

Swift μ-framework for efficient array diffs and datasource adapters.

  • edit-distance
  • levenshtein-distance
  • tableview
  • datasource