Development repository for the Triton-Linalg conversion

Development repository for the Triton language and compiler

Representation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Ultralytics YOLO11 🚀

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Map handling framework for automated driving

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

System for AI Education Resource.

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

YOLOX model prune

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

A PyTorch implementation of EfficientNet

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

提供对YOLOv3及Tiny的多种剪枝版本，以适应不同的需求。

Scaled-YOLOv4: Scaling Cross Stage Partial Network

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quanti…

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification

这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐