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laitianan's Projects

deepctr icon deepctr

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

deeplearning icon deeplearning

深度学习相关的模型训练、评估和预测相关代码

dsin icon dsin

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

econml icon econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

graphneuralnetwork icon graphneuralnetwork

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

kaggle icon kaggle

My solution to Web Traffic Predictions competition on Kaggle.

nlp-project icon nlp-project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

nlp_ability icon nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力

stock-prediction-models icon stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

time-series-prediction icon time-series-prediction

A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter

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