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YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
Example models using DeepSpeed
Paper and implementation of UNet-related model.
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
vLLM’s reference system for K8S-native cluster-wide deployment with community-driven performance optimization
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on d…
A lightweight adapter bridges SAM with medical imaging [MedIA]
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that …
The official code for "Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data".
[IEEE TMI-2024] UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation
M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models
[ICLR 2024 Oral] Supervised Pre-Trained 3D Models for Medical Image Analysis (9,262 CT volumes + 25 annotated classes)
nnInteractive is a framework for 3D interactive segmentation, supporting intuitive prompts like points, scribbles, bounding boxes, and lasso. Trained on 120+ diverse 3D datasets, it sets a new stan…
MOOSE (Multi-organ objective segmentation) a data-centric AI solution that generates multilabel organ segmentations to facilitate systemic TB whole-person research.The pipeline is based on nn-UNet …
Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation)
[CVPR 2024 Extension] Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
A generalizable application framework for segmentation, regression, and classification using PyTorch
A package to compute medical segmentation metrics.