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algorithms-notes icon algorithms-notes

《算法(第4版)》笔记及代码 | 《Algorithms(Fourth Edition)》notes & code

algs4 icon algs4

Algorithms, 4th edition textbook code and libraries

char-rnn icon char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

convmf icon convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

crab icon crab

Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).

ctrip14 icon ctrip14

科赛 携程出行产品未来14个月销量预测 第2名

deepctr-torch icon deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepctr333 icon deepctr333

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning-500-questions icon deeplearning-500-questions

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,50余万字。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

ensemblelearning icon ensemblelearning

包括决策树和随机森林进行离职人员预测,Xgboost和lightGBM的应用

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

gcmc-pytorch-dgl icon gcmc-pytorch-dgl

A Pytorch implementation of GCMC model with Deep Graph Library (DGL). The user-item bipartite graph is built using dgl-heterogeneouss Graph

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hugectr icon hugectr

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

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