code10086web Goto Github PK

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解决typora的截图因为电脑重启消失的问题

2024dingjiankaoyanpdfhandler

2024顶尖考研PDF去除水印，由RongRongStudio提供技术支持。若有侵权，请联系[email protected]删除。微信公众号:ArtistcProgramming

955.wlb

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

ai-surveys

整理AI相关领域的一些综述

allennlp

An open-source NLP research library, built on PyTorch.

asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-algorithm-interview

算法工程师(人工智能CV方向)面试问题及相关资料

awesome-anchor-free-object-detection

In this project, we focus on collection the anchor free object detection paper or code.

awesome-graph-neural-networks

Paper Lists for Graph Neural Networks

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

awesome-multimodal-research

A curated list of Multimodal Related Research.

awesome-tiny-object-detection

🕶 A curated list of Tiny Object Detection papers and related resources.

awesome-vehicle-re-identification

collection of dataset&paper&code on Vehicle Re-Identification

awesome-video-text-retrieval

A curated list of deep learning resources for video-text retrieval.

camstyle

Camera Style Adaptation for Person Re-identification CVPR 2018

cfa_for_anomaly_localization

clip2video

clip4clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

code10086web.github.io

cutpaste

Unofficial implementation of Google "CutPaste: Self-Supervised Learning for Anomaly Detection and Localization" in PyTorch

cvpr2020-person-re-identification-person-search

CVPR2020 Person Re-identification and Person Search

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

deep-person-reid

Torchreid: Deep learning person re-identification in PyTorch.

eladmin

项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

fabric-defect-detection

Fabric defect detection based on computer vision

fabricdefectdetection

AIFT2019-Real-time fabric defect segmentation based on convolutional neural network

fivr-200k

An annotated dataset of YouTube videos designed as a benchmark for near-duplicate and fine-grained incident video retrieval.