oliveryuan's repositories
pytorch-time_series_data-prediction-with-gru-and-lstm
(pytorch)time_series_data-prediction-with-gru-and-lstm
analytics_vidhya
Codes related to activities on AV including articles, hackathons and discussions.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
AutoX
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
Data_Competitions
A collection of data competition materials, including Kaggle, Tianchi and KDD, etc. Items will continue to be added.
DeepADoTS
Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
gluonts
Probabilistic time series modeling in Python
google-research-tft
Google Research
Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Kaggle-American-Express-Default-Prediction-1st-solution
kaggel——美国运通--违约预测
LSTM
基于LSTM神经网络的时间序列预测
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
PaddleSpatial
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
pyodds
An End-to-end Outlier Detection System
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorchIntroduction
《深入浅出 PyTorch——从模型到源码》源代码和勘误（见Issues）
simdkalman
Python Kalman filters vectorized as Single Instruction, Multiple Data
Time-series-prediction
Time series deep learning models in TensorFlow-TFTS
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
yuanjianrui
Config files for my GitHub profile.