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LaTeX template for dissertations in Peking University

LaTeX template for dissertations in Peking University

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Source code for Paper "Legal Feature Enhanced Semantic Matching Network for Similar Case Matching".

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Implementation of deep learning models for time series in PyTorch.

Probabilistic time series modeling in Python

Automatic extraction of relevant features from time series:

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

List of papers, code and experiments using deep learning for time series forecasting

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LaTeX template for dissertations in Peking University

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …

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从新浪财经、每经网、金融界、中国证券网、证券时报网上，爬取上市公司（个股）的历史新闻文本数据进行文本分析、提取特征集，然后利用SVM、随机森林等分类器进行训练，最后对实施抓取的新闻数据进行分类预测

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Source code for COLING 2020 paper "Enhancing Neural Models with Asymmetrical Vulnerability via Adversarial Attack"

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

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Source code for SDM 2020 paper "What Do Questions Exactly Ask? MFAE: Duplicate Question Identification with Multi-Fusion Asking Emphasis"