Stars
原汁原昧 Claude Code 可运行,可构建, 可调试版; 生产级工程化, 企业级可靠性; 安全无毒, 内存泄露修复
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, particularly CTR models for large-scale advertising and recom…
Algorithm Patterns — the most scientific way to practice, the fastest path to an offer. You deserve it~ 算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
Classic papers and resources on recommendation
A PyTorch implementation of Neural Attentive Session Based Recommendation (NARM)
tensorflow实战练习，包括强化学习、推荐系统、nlp等
recommendation system with Youtube Deep Net
Differentiable Product Quantization for End-to-End Embedding Compression.
coursera机器学习笔记
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction
🌟 Wiki of OI / ICPC for everyone. （某大型游戏线上攻略，内含炫酷算术魔法）
Translation of papers in Deep Learning Research
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路,完整单步/回看/变速/语音讲解在 algomooc.com）
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Contextual Recommendation Implementation for Research Purposes
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
LeetCode Top 100 Liked Questions | Top Interview Questions | LeetCode 用户最喜欢的100题 | 面试最容易被问到的题
Easy to use video deep features extractor
AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)