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lihang-code

《统计学习方法》的代码实现

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imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

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smote_variants

A collection of 85 minority oversampling techniques (SMOTE) for imbalanced learning with multi-class oversampling and model selection features

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deeplearning

深度学习相关的模型训练、评估和预测相关代码

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x-deeplearning

An industrial deep learning framework for high-dimension sparse data

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DeepCTR

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

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BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

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deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

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transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

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pytorch-widedeep

A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch

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models

Models and examples built with TensorFlow

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dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

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feature_select

在sklearn下,几种常用的特征选择方法

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RCPapers

Must-read papers on Machine Reading Comprehension

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py-googletrans

(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

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OpenNMT-py

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

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QANet-pytorch

A PyTorch implementation of QANet.

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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