深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
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Updated
Jul 25, 2024 - Jupyter Notebook
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
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.
A framework for large scale recommendation algorithms.
MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50 点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。
A simple effective ToolKit for short text matching
Tensorflow implementations of various Deep Semantic Matching Models (DSMM).
텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)
天池阿里灵杰问天引擎电商搜索算法赛非官方 baseline,又名 NLP 从入门到 22/2771。
Implementation of DSSM for recommendation by PyTorch (Including SENet and random negative sampling)
An easy-to-use framework for large scale recommendation algorithms.
siamese dssm sentence_similarity sentece_similarity_rank tensorflow
基于深度学习的商品推荐系统,高性能,可承受高并发,可跨平台
An industrial-grade implementation of DSSM
Deep Semantics Similarity Model in tensorflow.
Text Matching Based on LCQMC: A Large-scale Chinese Question Matching Corpus
This is a Tensorflow implementation of the End-to-End Memory Network applied to the Ubuntu Dialog Corpus. The model can be compared to a LSTM and a DSSM, both available within the implementation.
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