iscyy Goto Github PK

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

cvms

Model code base for computer vision

deeplearning

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

external-attention-guide

Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution,

external-attention-pytorch

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

gold-miner

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

iscyy

iscyy

iscyy.github.io

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcode-javascript

LeetCode 力扣的 JavaScript 解题仓库，前端刷题路线（思维导图）。小伙伴们可以在Issues中提交自己的解题代码，🤝 欢迎Contributing，可打卡刷题，Give a ⭐️ if this project helped you!

leetcode-master

LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

mmdetection

OpenMMLab Detection Toolbox and Benchmark

multispectral-object-detection

Multispectral Object Detection with Yolov5 and Transformer

okamimks

Config files for my GitHub profile.

pytorch_yolov4

PyTorch implementation of YOLOv4

scaledyolov4

Scaled-YOLOv4: Scaling Cross Stage Partial Network

ultralytics

NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite

ultralyticspro

🔥🔥🔥专注于改进YOLOv8模型，NEW - YOLOv8 🚀 RT-DETR 🥇 in PyTorch >, Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

yoloair

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

yoloair2

☁️💡🎈专注于改进YOLOv7，Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolov9pro

🎈🎈🎈专注于改进YOLOv9模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀