mrhagchwh's repositories

autonomous_car_sim_kickstarter_2020

This repository contains all the files and instructions to get your own autonomous car simulator up and running on a Linux machine using Unity, Udacity's car simulator and PyTorch.

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CenterPoint

TensorRT deployment for CenterPoint Lidar Detection Model.

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gddw_track3

阿里云天池广东电网识别挑战赛(赛道三) 亚军方案分享

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

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albumentations

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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apollo

An open autonomous driving platform

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AutoLabelImg

auto-labelimg based on yolov5, with many other useful tools

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Awesome-AutoLabeling-tools

Papers, code and datasets about deep learning data auto-labeling.

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course

高性能并行编程与优化 - 课件

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CPlusPlusThings

C++那些事

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CUDA-PointPillars

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

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data-science-competition

该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等

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Deep-Learning-Interview-Book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

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External-Attention-pytorch

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

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Interview

Interview = 简历指南 + LeetCode + Kaggle

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keras_efficientnet_v2

self defined efficientnetV2 according to official version. Including converted ImageNet/21K/21k-ft1k weights.

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learnopencv

Learn OpenCV : C++ and Python Examples

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mmdetection-mini

mmdetection最小学习版

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OpenPCDet-Noted

OpenPCDet代码分析与注释

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PointPillars-ROS

A 3D detection Pointpillars ROS deployment on Nvidia Jetson TX1/Xavier

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python-socketio

Python Socket.IO server and client

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rockchip_rknn_yolov5

yolov5 detector using rockchip rknn in C++

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TensorRT-Alpha

🔥《TensorRT-Alpha》🔥supports YOLOv8, YOLOv7, YOLOv6, YOLOv5, YOLOv4, YOLOv3, YOLOX, YOLOR and so on. It implements 🚀 CUDA C++🚀 accelerated deployment models.🍎CUDA IS ALL YOU NEED🍎.Best Wish!

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tensorrt_smoke

3d object detection model smoke c++ inference code

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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yolov5-rt-stack

yolort is a runtime stack for yolov5 on specialized accelerators such as tensorrt, libtorch, onnxruntime, tvm and ncnn.

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