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The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
🚀 基于 LLM 大语言模型的知识库问答系统。开箱即用、模型中立、灵活编排，支持快速嵌入到第三方业务系统，1Panel 官方出品。
A unified framework for machine learning with time series
Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Simple static web-based mask drawer, supporting semantic segmentation with interactive Segment Anything Model (SAM) and video segmentation with XMem.