Pytorch pipeline for 3D image domain translation using Cycle-Generative-Adversarial-networks, without paired examples.

A novel segmentation model termed Swin UNEt TRansformers (Swin UNETR). Specially for the task of 3D semantic segmentation.

Analysis pipeline for the GUIDE-seq assay.

new and more efficient version for 3D discrete deformable registration, reaching the highest accuracy in several benchmarks

Transcriptomic tools to classify bladder tumours according to six published molecular classifications : Baylor, UNC, MDA, Lund, CIT-Curie, TCGA

Open source tools for computational pathology - Nature BME

YOLOv11 re-implementation using PyTorch

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]

Llama中文社区，实时汇总最新Llama学习资料，构建最好的中文Llama大模型开源生态，完全开源可商用

Llama中文社区，最好的中文Llama大模型，完全开源可商用

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語，提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现

tensorrt for yolo series (YOLOv11,YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support

TensorRT C++ API Tutorial

Pytorch to achieve DCell code (torch7 with lua)