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qcmuu / trending-in-one
Forked from huqi-pr/trending-in-one今日头条热搜,知乎热门视频,知乎热搜榜,知乎热门话题,微博热搜榜;记录从 2020-11-29 日开始的热搜。每小时抓取一次数据,按天归档。
知乎热门话题,记录从 2020-11-24 日开始的知乎热门话题。每小时抓取一次数据,按天归档。
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
A GPGPU based Spiking Neural Network (SNN) designed to be as transparent and easy to modify as possible. Written in C++/CUDA.
Deepsort with yolo series. This project support the existing yolo detection model algorithm (YOLOV8, YOLOV7, YOLOV6, YOLOV5, YOLOV4Scaled, YOLOV4, YOLOv3', PPYOLOE, YOLOR, YOLOX ).
MOT using deepsort and yolov7 with c++. It also supports yolov5 as a detector.
MOT using deepsort and yolov3 with pytorch
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
ZhenhongDu / ExportMD-rectify-pics
Forked from truda8/ExportMD语雀知识库自动导出为 Markdown 格式
📚 C/C++ 技术面试基础知识总结,包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, in…
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
xuarehere / 2020_reference
Forked from ZenFinTech/2020_reference2020年的白皮书,报告等
Awesome machine learning model compression research papers, quantization, tools, and learning material.
2020年的算法实习岗位/校招公司信息表,部分包括内推码,和常见深度学习算法岗面试题及答案,暑期计算机视觉实习面经和总结
AlexeyAB / darknet
Forked from pjreddie/darknetYOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
yolov4-tiny ncnn android sample
Minimal PyTorch implementation of YOLOv3
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops500KB:fire::fire::fire:
dog-qiuqiu / caffe
Forked from maxuehao/caffeAdd yolov3 upsampler layer
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)