Starred Repositories
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Stock-keeping-oriented Prediction Error Costs (SPEC)
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Comparing XGBoost, CatBoost and LightGBM on TimeSeries Regression (RMSE, R2, AIC) on two different TimeSeries datasets.
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A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
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Data, Benchmarks, and methods submitted to the M5 forecasting competition
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Calculates various features from time series data. Python implementation of the R package tsfeatures.
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List of papers, code and experiments using deep learning for time series forecasting
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Automatic extraction of relevant features from time series:
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The fastai book, published as Jupyter Notebooks
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《可解释的机器学习--黑盒模型可解释性理解指南》,该书为《Interpretable Machine Learning》中文版
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Scalable and user friendly neural 🧠 forecasting algorithms.
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A python library for user-friendly forecasting and anomaly detection on time series.
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Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
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TensorFlow Probability;Time series model
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Repository containing notebooks of my posts on Medium
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PyTorch GPU implementation of the ES-RNN model for time series forecasting
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Data, Benchmarks, and methods submitted to the M4 forecasting competition
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Time series features
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区块链小白书
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挤挤都会有的 —— 写给女生的性高潮指南
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Implementation of BERT that could load official pre-trained models for feature extraction and prediction
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Matlab code of machine learning algorithms in book PRML
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A Curated List of Must-read Papers on Recommender System.
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A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
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Chinese Pre-Trained Language Models (CPM-LM) Version-I
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Must-read Papers on pre-trained language models.
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🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
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Baidu's open-source Sentiment Analysis System.
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Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
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Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。