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本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm…
A generative world for general-purpose robotics & embodied AI learning.
Welcome to the Awesome Multi-Modal Object Re-Identification Repository! This repository is dedicated to curating and sharing the latest methods, datasets, and resources focused specifically on the …
该项目可以让你通过订阅的方式使用Cloudflare WARP+，自动获取流量。This project enables you to use Cloudflare WARP+ through subscription, automatically acquiring traffic.
2025最新悄咪咪收集的10000+个Telegram群合集，附全网最有趣好用的机器人BOT🤖【dianbaodaohang.com】
从全网搜集超 10000+ 个 Telegram 群组、频道和机器人，并筛选出优质且持续更新的资源，为 数据分析、研究与学习 提供支持。所有数据均来源于互联网，仅用于研究分析，不涉及商业或违法用途，使用者需自行承担风险。
AGE animation official website URL release page（AGE动漫官网网址发布页）
Extension of Wav2Lip repository for processing high-quality videos.
Deep Learning-based Image Fusion: A Survey
The code of " Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network"
✨✨Latest Advances on Multimodal Large Language Models
Diffusion model papers, survey, and taxonomy
A curated list of deep learning resources for video-text retrieval.
[Survey@Pattern Recognition] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)
(ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Open-source Windows and Office activator featuring HWID, Ohook, TSforge, KMS38, and Online KMS activation methods, along with advanced troubleshooting.
Official implementation of "A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition" [TCSVT 2022]
[TMM 2023] StrongSORT: Make DeepSORT Great Again
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐