A library that integrates different MIL methods into a unified framework

Efficient Triton Kernels for LLM Training

Xiaomi Home Integration for Home Assistant

Multimodal Whole Slide Foundation Model for Pathology

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

easy cuda code

Official inference framework for 1-bit LLMs

通过onnxruntime实现yolov8在CPU和GPU上面部署

【A common used C++ DAG framework】 一个通用的、无三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork & 交流

一个基于C++11的轻量级网络框架，基于线程池技术可以实现大并发网络IO

NVIDIA Linux open GPU with P2P support

NVIDIA Linux open GPU kernel module source

Flash Attention in ~100 lines of CUDA (forward pass only)

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

Inference Llama 2 in one file of pure C

[CVPR 2024] Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology

本书为《C++17 the complete guide》的个人中文翻译，仅供学习和交流使用，侵删

校招、秋招、春招、实习好项目，带你从零动手实现支持LLama2/3和Qwen2.5的大模型推理框架。

LLM101n: Let's build a Storyteller

Video+code lecture on building nanoGPT from scratch

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

MIT 6.824 distributed system C++Version

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

nndeploy is an end-to-end model inference and deployment framework. It aims to provide users with a powerful, easy-to-use, high-performance, and mainstream framework compatible model inference and …

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data