A PyTorch implementation for V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

YOLOv5 object detection with C#, ML.NET, ONNX

Several image/video enhancement methods, implemented by Java, to tackle common tasks, like dehazing, denoising, backscatter removal, low illuminance enhancement, featuring, smoothing and etc.

TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

这是一个孪生神经网络（Siamese network）的库，可进行图片的相似性比较。

Implementations of few-shot object detection benchmarks

Qt自动对焦实现

paper implement

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

Deep Learning tools and applications for NVIDIA AGX platforms.

Implementation of popular deep learning networks with TensorRT network definition API

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Machine learning, computer vision, statistics and general scientific computing for .NET

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

2021广东工业智造创新大赛 智能算法赛 瓷砖表面瑕疵质检

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

Object detection, 3D detection, and pose estimation using center point detection:

采用C#语言对 YOLOv4 目标检测算法封装，将模型在实际应用系统中落地，实现模型在线远程调用。

TIANCHI 天池 "数字人体"视觉挑战赛——宫颈癌风险智能诊断 VNNI赛道 LLLLC队 1/2359

《算法导论》第三版中算法的C++实现

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

A LibTorch inference implementation of the yolov5

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

LeetCode Problems' Solutions

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

🍇 A C++ library for parallel graph processing (GRAPE) 🍇