ZXY12391

ZXY12391

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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ARIMA

时间序列ARIMA模型的销量预测

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deep-learning-time-series

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

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Financial-Time-Series

金融时间序列(预测分析 / 相似度 / 数据处理)

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LSTM-ANN-Time-Series-Prediction

使用LSTM、ANN网络进行时间序列的多步预测。一般情况下机器学习算法在进行时间序列预测时采取一步预测的方法。该段代码将其拓展到多步预测的情形。主要改进在于数据的构建。LSTM and ANN are used to predict the time series. In general, machine learning algorithm takes one-step prediction method in time series prediction. This code extends it to the case of multi-step prediction. The main improvement lies in the construction of data.

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MLCourseProject

机器学习大作业,多变量多步时间序列预测模型

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Time-series-deep-learning

Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.

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xgboost_time_series

How to use XGBoost for multi-step time series forecasting

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SimCSE

SimCSE有监督与无监督实验复现

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TensorFlow-Time-Series-Examples

Time Series Prediction with tf.contrib.timeseries

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AirPassengers_TimeSeries

Demonstrating the efficiency of pmdarima’s auto_arima() function compared to implementing a traditional ARIMA model.

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arimafd

Popular method ARIMA for outlier detection purposes

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ARIMA

Simple python example on how to use ARIMA models to analyze and predict time series.

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Time-Series-ARIMA-XGBOOST-RNN

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

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prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

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LAV-DF

[CVIU] Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

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zihao_course

同济子豪兄的公开课

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paper-reading

深度学习经典、新论文逐段精读

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RawGAT-ST-antispoofing

This repository includes the code to reproduce our paper "End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection" (https://arxiv.org/abs/2107.12710) published in the ASVspoof 2021 workshop.

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SecCrawler

一个方便安全研究人员获取每日安全日报的爬虫和推送程序,目前爬取范围包括先知社区、安全客、Seebug Paper、跳跳糖、奇安信攻防社区、棱角社区以及绿盟、腾讯玄武、天融信、360等实验室博客,持续更新中。

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SCINet

The GitHub repository for the paper: “Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction“. (NeurIPS 2022)

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stock_prediction

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

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MTS-Mixers

MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing

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Chinese-BERT-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

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gans_stockprediction

Stock prediciton using gans

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StockPrediction

Predicting price of apple stocks using CNN and LSTM

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