ladybirds1996
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A Notepad++ plugin that supports multi-objective search. Usefull when analysing logs with more than one search pattern at a time.
Super TINY & Low-cost Linux Develop-Kit Based On F1C200s.
Master programming by recreating your favorite technologies from scratch.
The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐
Simple PyTorch profiler that combines DeepSpeed Flops Profiler and TorchInfo
Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
包含通过iwr6843isk收集的6类人体活动的bag数据，包含将iwr6843isk录制的ROS包解析成txt文件并且拆分训练集和测试集的程序
Simple kernel for learning operating systems. 用于学习操作系统的简单内核
bigsai的数据结构与算法、LeetCode图解、剑指offer图解文章专栏，致力于最好懂的数据结构与算法专栏
《关于计算机学习的相关书籍收录》02-Java核心技术面试精讲-极客时间 05-趣谈网络 06-MySQL实战45讲 深入理解Java虚拟机 Java并发编程的艺术 88-高并发系统设计40问 Redis深度历险：核心原理和应用实践 剑指OFFER 图解系统-小林 图解网络-小林 advanced-java 阿里--java开发手册（嵩山版）java核心技术36讲
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。
Some code of the implements of Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network
Pytorch implementation of 2D and 3D deformable convolution specified in https://arxiv.org/abs/1703.06211.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Disparity map estimation in a stereo pair of images with cost volume filtering
Deep Adaptive Filtering (DAF) Stereo Networks, DAF-StereoNets for short, leveraging image context as a signal to dynamically guide the matching process
CVPR2021最新论文汇总，主要包括：Transformer, NAS，模型压缩，模型评估，图像分类，检测，分割，跟踪，GAN，超分辨率，图像恢复，去雨，去雾，去模糊，去噪，重建等等
Image transform, enhancement, restoration, Segmentation(图像变换、图像增强、图像退化、图像分割)