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Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
PyTorch Tutorial for Deep Learning Researchers
《Designing Data-Intensive Application》DDIA中文翻译
Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…
获取斗鱼&虎牙&哔哩哔哩&抖音&快手等 58 个直播平台的真实流媒体地址(直播源)和弹幕，直播源可在 PotPlayer、flv.js 等播放器中播放。
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
The PyTorch implementation of LightGCN
使用python抓取微博数据并对微博文本分析和可视化，LDA（树图）、关系图、词云、时间趋势（折线图）、热度地图、词典情感分析（饼图和3D柱状图）、词向量神经网络情感分析、tfidf聚类、词向量聚类、关键词提取、文本相似度分析等
Social media (Weibo) comments analyzing toolbox in Chinese 微博评论分析工具, 实现功能: 1.微博评论数据爬取; 2.分词与关键词提取; 3.词云与词频统计; 4.情感分析; 5.主题聚类
A pytorch port of google-research/google-research/robust_loss/
基于python开发的编码转换工具，图形化界面基于pyside2（qt5）开发。 支持批量转换任意格式的文件编码； 可将文件编码转为UTF-8 BOM 、UTF-8、GB2312中的任意一种格式；
A Toolbox for MultiModal Recommendation. Integrating 10+ Models...
Implements of Awesome RecSystem Models with PyTorch/TF2.0
Graph Neural Network based Social Recommendation Model. SIGIR2019.
Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)
This is a library built upon RecBole for cross-domain recommendation algorithms
Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters"
Skeleton code, tips and solutions for the socket programming exercises from Kurose and Ross Computer Networking: A Top-Down Approach, 6th ed
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
The code for paper MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation
[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"