Model Context Protocol Servers

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

Fast and memory-efficient exact attention

PyTorch implementation for MA-SAM

[AAAI 2025] Official repository of Generative Medical Segmentation

Reference PyTorch implementation and models for DINOv3

Code for CRATE (Coding RAte reduction TransformEr).

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

A comprehensive review of techniques to address the missing-modality problem for medical images

Solve puzzles. Improve your pytorch.

Puzzles for learning Triton

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Residual deep Gaussian processes on Riemannian manifolds

Efficient distance analysis for segmentation in PyTorch

[MICCAI 2025] Official code for "Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster"

Official repository for EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation (MICCAI 2024)

[ECCV 2024] TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data (an official implementation)

[CVPR'25 Highlight] Multi-modal Vision Pre-training for Medical Image Analysis

Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes

CUDA Templates and Python DSLs for High-Performance Linear Algebra

一本系统地教你将深度学习模型的性能最大化的战术手册。

[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

Lightning fast C++/CUDA neural network framework

This code is implementation of MICCAI 2024 "Robust Semi-Supervised Multimodal Medical Image Segmentation via Cross Modality Collaboration"