solidglue / Machine_Learning_Sklearn_Examples
机器学习Sklearn入门指南。Machine Learning Sklearn API and Examples with Python3 and Jupyter Notebook.
☆110Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for Machine_Learning_Sklearn_Examples
- 深度学习TensorFlow2入门指南。Deep Learning TensorFlow2 API and Examples with Python3 and Jupyter Notebook.☆98Updated 6 months ago
- Large scale recommender system inference Microservices and APIs （Dubbo 、gRPC and REST ） with Golang.☆110Updated 6 months ago
- YouTube推荐系统深度学习召回排序算法, Deep Neural Networks for YouTube Recommendations. YouTubeDNN.☆114Updated 6 months ago
- 推荐系统入门指南，全面介绍了工业级推荐系统的理论知识（王树森推荐系统公开课-基于小红书的场景讲解工业界真实的推荐系统），如何基于TensorFlow2训练模型，如何实现高性能、高并发、高可用的Golang推理微服务。Comprehensively introduced th…☆462Updated 6 months ago
- 深度学习与推荐系统学习，理论结合代码更香。☆94Updated 2 years ago
- Codes for 2022 Knowledge-based Systems (KBS) paper "Time Enhanced Graph Neural Networks for Session-based Recommendation"☆10Updated 2 years ago
- ☆18Updated 3 months ago
- 用pytorch 方法复现了二十多个经典的推荐算法论文，其中包含排序论文和推荐召回论文，并在demo里面选了一个召回模型和排序模型的运行示例。☆49Updated last year
- 该项目使用经典的电影推荐数据集ml-100k并基于PyTorch实现《深度学习推荐系统（王喆著）》的部分经典模型☆9Updated 10 months ago
- 推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…☆159Updated last year
- To be continued☆9Updated 3 years ago
- ☆52Updated last week
- ☆47Updated this week
- Github repo for the MDN Learning Area.☆22Updated 4 years ago
- 基于王喆老师的深度学习推荐系统书籍，主要用pytorch实现了里面涉及到的算法，有很少数量的算法是用tf2.0实现的。在这个过程中也参考很多大佬的复现代码，希望自己能持续学习 多多去实现。☆35Updated last year
- Paper阅读记录博客（基于GitHub Action和GitHub Issue实现）。☆27Updated 5 months ago
- XXTEA for encryption algorithm library HTML5☆26Updated 4 years ago
- pytorch version of NCF☆34Updated 4 years ago
- ☆11Updated 2 months ago
- 一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）☆240Updated 2 years ago
- 阿里DIEN与DIN Tensorflow2.0 复现☆52Updated 4 years ago
- A curated list of awesome resources about multimodal recommender systems.☆301Updated 7 months ago
- Adaptive Hardness Negative Sampling for Collaborative Filtering, AAAI2024☆9Updated 11 months ago
- 利用大模型赋能智能推荐，通过案例讲解大模型推荐算法原理，并且给出代码实现。☆15Updated 3 months ago
- 项亮等《推荐系统实践》算法代码☆28Updated 4 years ago
- Cocos-BCX: The platform for the next generation of digital game economy☆25Updated 4 years ago
- ☆42Updated 5 years ago
- 利用pytorch实现的wide&deep，并利用avazu数据集进行了验证☆10Updated 3 years ago
- 详细介绍知名大厂在搜索、推荐、广告等工业界的实践、前沿论文、技术干货分享☆14Updated 8 months ago
- A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.☆423Updated 6 months ago