Stars
A python module for English lemmatization and inflection.
Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)
CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)
Neural Collaborative Filtering
A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Deep-Learning based CTR models implemented by PyTorch
Recommender Systems Paperlist that I am interested in
My Keras implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Official Repo for Google Cloud AI Platform. Find samples for Vertex AI, Google Cloud's new unified ML platform at: https://github.com/GoogleCloudPlatform/vertex-ai-samples
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Modin: Scale your Pandas workflows by changing a single line of code