Jiehui-Xu

Jiehui-Xu's Stars

• charliedream1/ai_quant_trade

  股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易

  Language:Jupyter Notebook1.2k268

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R736317

• iskandr/fancyimpute

  Multivariate imputation and matrix completion algorithms implemented in Python

  Language:Python1.2k176

• NIPS-BRITS/BRITS

  Language:Python7836

• naigamshah/NBEATS

  Time Series Forecasting using N-BEATS

  Language:Python11

• google-research/long-range-arena

  Long Range Arena for Benchmarking Efficient Transformers

  Language:Python71077

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python742171

• facebookresearch/Kats

  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.

  Language:Python4.9k534

• dave-fernandes/ECGClassifier

  CNN, RNN, and Bayesian NN classification for ECG time-series (using TensorFlow in Swift and Python)

  Language:Jupyter Notebook7625

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook1.9k409

• xinntao/Real-ESRGAN

  Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

  Language:Python27.6k3.5k

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.4k293

• hi-bingo/BeatGAN

  BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series

  Language:Roff6714

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.4k192

• eBay/RANSynCoders

  Language:Jupyter Notebook7715

• amitesh863/nbeats_forecast

  N-Beats library implementation

  Language:Python8318

• microsoft/StemGNN

  Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting

  Language:Python495114

• Zhang-Zhi-Jie/Pytorch-MSCRED

  Language:Python5214

• ServiceNow/N-BEATS

  N-BEATS is a neural-network based model for univariate timeseries forecasting. N-BEATS is a ServiceNow Research project that was started at Element AI.

  Language:Python504114

• chickenbestlover/RNN-Time-series-Anomaly-Detection

  RNN based Time-series Anomaly detector model implemented in Pytorch.

  Language:Python1.2k318

• SchindlerLiang/VAE-for-Anomaly-Detection

  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow

  Language:Python11728

• maxsxu/MTSAnomalyDetection

  Multidimensional Time Series Anomaly Detection

  Language:Python2714

• richarddwang/electra_pytorch

  Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

  Language:Python32241

• codertimo/BERT-pytorch

  Google AI 2018 BERT pytorch implementation

  Language:Python6.2k1.3k

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python713192

• lin-shuyu/VAE-LSTM-for-anomaly-detection

  We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.

  Language:Jupyter Notebook44284

• numenta/NAB

  The Numenta Anomaly Benchmark

  Language:Jupyter Notebook1.9k868

• KDD-OpenSource/DeepADoTS

  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

  Language:Python561115

• y-bar/ml-based-anomaly-detection

  Spectral Residual

  Language:Jupyter Notebook7818

• linkedin/luminol

  Anomaly Detection and Correlation library

  Language:Python1.2k215