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GitHub最全的前端资源汇总仓库（包括前端学习、开发资源、数据结构与算法、开发工具、求职面试等）
Noisy-Correspondence Learning for Text-to-Image Person Re-identification (CVPR 2024 Pytorch Code)
Curated list of project-based tutorials
Cross-Modal-Real-valuded-Retrieval
100+ Python challenging programming exercises
Alignedreid＋+: Dynamically Matching Local Information for Person Re-Identification.
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
Deep Learning for Person Re-identification: A Survey and Outlook
Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval (CVPR 2023)
Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI 2023)
Code examples in pyTorch and Tensorflow for CS230
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
Reading list for research topics in multimodal machine learning
SYSU-30k Dataset of "Weakly Supervised Person Re-ID: Differentiable Graphical Learning and A New Benchmark" https://arxiv.org/abs/1904.03845
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers
ID-discriminative Embedding (IDE) for Person Re-identification
SOTA Re-identification Methods and Toolbox
A best practice for deep learning project template architecture.
Bag of Tricks and A Strong Baseline for Deep Person Re-identification
Collection of public available person re-identification datasets
Torchreid: Deep learning person re-identification in PyTorch.
Awesome Person Re-identification
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG