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《Python深度学习》书籍代码
深度学习在推荐系统中的应用及论文小结。
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.
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Basic Deep Learning
DeepCT and HDCT uses BERT to generate novel, context-aware bag-of-words term weights for documents and queries.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.
TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
DeepIE: Deep Learning for Information Extraction
Knowledge Graph
深度学习相关的模型训练、评估和预测相关代码
深度学习入门教程&&优秀文章&&Deep Learning Tutorial
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,近30万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
A collection of various deep learning architectures, models, and tips
deeplearning_ai_books
Deep Learning Examples
Kaggle's competition for using Google's word2vec package for sentiment analysis
Accelerating Inference for Recommendation Systems (WSDM'21)
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.
Deep Matching, Correlation and Prediction (DeepMCP) Model
天池中药说明书实体识别挑战冠军方案;中文命名实体识别;NER; BERT-CRF & BERT-SPAN & BERT-MRC;Pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
Deep learning for recommender systems
Sentence Embeddings using Deep Nerual Networks in PRODUCTION!
top 1% solution to toxic comment classification challenge on Kaggle.
Code for "Learning to Reweight Terms with Distributional Representations"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.