A Benchmark for Anytime Person Re-Identification (AT-ReID), which aims to retrieve a person at any time, including both daytime and nighttime, ranging from short-term to long-term.

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

TSB-AD: Towards A Reliable Time-Series Anomaly Detection Benchmark

Time-Series Anomaly Detection Comprehensive Benchmark

Firefly: 大模型训练工具，支持训练Qwen2.5、Qwen2、Yi1.5、Phi-3、Llama3、Gemma、MiniCPM、Yi、Deepseek、Orion、Xverse、Mixtral-8x7B、Zephyr、Mistral、Baichuan2、Llma2、Llama、Qwen、Baichuan、ChatGLM2、InternLM、Ziya2、Vicuna、Bloom等大模型

天池中药说明书实体识别挑战冠军方案；中文命名实体识别；NER; BERT-CRF & BERT-SPAN & BERT-MRC；Pytorch

🚀 RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

CCF 2021 BDCI 千言-问题匹配鲁棒性评测 A榜 rank 29th, B榜 rank 15th

The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

CCL2018客服领域用户意图分类冠军1st方案

基于LSTM网络与自注意力机制对中文评论进行细粒度情感分析

we want to create a repo to illustrate usage of transformers in chinese

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

命名实体识别实践与探索

字节跳动短视频内容理解和推荐 Track2 Top8

推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

A Deep Learning Recommender System

The Code for ICME2019 Grand Challenge: Short Video Understanding (Single Model Ranks 6th)

Bytedance_ICME2019_challenge_baseline

YouTube推荐算法

camus-binlog

Free Python Games

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

IEEE-TNSM 2021: Anomalous Log Identification and Classification with Partial Labels

A user portrait is a tagged user model abstracted based on user attributes, user preferences, lifestyle habits, user behavior, and the like. Popularly speaking, the user is tagged, and the tag is a…

🙈程序员找工作黑名单，换工作和当技术合伙人需谨慎啊 更新有赞

1st place solution for the AntaiCup-International-E-commerce-Artificial-Intelligence-Challenge

An implementation of the 'fast gradient sign method' from the paper 'Explaining and Harnessing Adversarial Examples'

Black-Box Adversarial Attack on Public Face Recognition Systems