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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.

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

  • android-malware-detection
  • android-analysis

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

TranslatedAn industrial anomaly detection project based on PatchCore, studying layer2/layer3 score fusion, sensitivity-guided shrinkage, and risk-controlled gating, and providing an engineering-oriented Streamlit demo.

Based Python static type checker with baseline, sane default settings and based typing features

  • based
  • python
  • typing
  • baseline

Stop upgrade, most of features were delivered in https://github.com/xjsender/haoide-vscode

  • lightning
  • apex
  • salesforce
  • sublime

Goblet is an easy-to-use framework that enables developers to quickly spin up fully featured REST APIs with python on GCP

This repo is the official implementation of "F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation".

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.