Manqi Zhao's starred repositories
Awesome-CV
:page_facing_up: Awesome CV is LaTeX template for your outstanding job application
llm_interview_note
主要记录大语言大模型(LLMs) 算法(应用)工程师相关的知识及面试题
Transformer_Tracking
This repository is a paper digest of Transformer-related approaches in visual tracking tasks.
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
digitalgarden
Personal knowledge garden dedicated to AI, ML, AI for Earth Sciences, AI for good, Machine Learning and Data Science
AFNO-transformer
Adaptive FNO transformer - official Pytorch implementation
GlobalMLBuildingFootprints
Worldwide building footprints derived from satellite imagery
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
Awesome-Graph-Neural-Networks
Paper Lists for Graph Neural Networks
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Enjoy-Hamburger
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
awesome-multiple-object-tracking
Resources for Multiple Object Tracking (MOT)
CaptainBlackboard
船长关于机器学习、计算机视觉和工程技术的总结和分享
object-detection-usages
The brief implementation and using examples of object detection usages like, IoU, NMS, soft-NMS, SmoothL1、IoU loss、GIoU loss、 DIoU loss、CIoU loss, cross-entropy、focal-loss、GHM, AP/MAP and so on by Pytorch.