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image-forgery-using-deep-learning

Image Forgery Detection using Deep Learning, implemented in PyTorch.

imageretrieval

importanteventextractor

An exploration for Eventline (important news Rank organized by pulic time)，针对某一事件话题下的新闻报道集合，通过使用docrank算法，对新闻报道进行重要性识别，并通过新闻报道时间挑选出时间线上重要新闻。

lawcrimemining

Law Crime Mining Based on Corpus build and content analysis by NLP methods. 基于领域语料库构建与NLP方法的裁判文书与犯罪案例文本挖掘项目

learn-python-the-smart-way

聪明方法学Python，简明且系统的 Python 入门教程。

learn-to-identify-similar-images

Record my python script about Iearning to identify similar images

llm-course-chn

chinese translation of llm-course

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

malicious_domains_dga_detection

The repository is created in pursuit of detecting malware-based domain names that were generated using DGA.

market-1501_attribute

27 hand-annotated attributes of Market-1501

mlhub123

机器学习&深度学习网站资源汇总（Machine Learning Resources）

models

Models and examples built with TensorFlow

mukea

MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

nlp-tutorials

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

notion-zh_cn

notion 中文化

odr

Optical Document Recognition. 《一种基于视觉词汇的文本分类方法》配套代码（http://www.jianshu.com/p/f774e273a883）

open-reid

Open source person re-identification library in python

partial-person-reid

pass-reid

[ECCV2022] PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification

pedestrian_alignment

Pedestrian Alignment Network for Large-scale Person Re-identification

person-re-ranking

Person Re-ranking (CVPR 2017)

person-reid-benchmark

A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

person-reid-triplet-loss

Person re-ID baseline with triplet loss

person_reid_baseline_pytorch

Pytorch implement of Person re-identification baseline. We arrived Rank@1=88.24%, mAP=70.68% only with softmax loss. Re-ranking is added.

posebox-reid

A two-stream Re-id CNN network

pplr

[CVPR 2022] Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models