suntaochun
Ph.D. student in the Department of Earth System Science in Tsinghua University. Web: suntaochun.github.io
Pinned Repositories
ad_examples
A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
adaptive-inertia-adai
The PyTorch Implementation of Adaptive Inertia Methods. The algorithms are based on our ICML2020 Long Oral paper: "Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum".
Chinese-BERT-wwm
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
CogView
Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
covid-mobility
dask
Parallel computing with task scheduling
diplomacy_cicero
Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
earthengine-community
Tutorials and content created by Earth Engine users, for Earth Engine users
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
suntaochun's Repositories
suntaochun/sarima
Econometric Approach to Time Series Analysis — Seasonal ARIMA in Python
suntaochun/SARIMA-LSTM
建立SARIMA-LSTM混合模型预测时间序列问题。以PM2.5值为例,使用UCI公开的自2013年1月17日至2015年12月31日五大城市PM2.5小时检测数据,将数据按时间段划分,使用SARIMA过滤其线性趋势,再对过滤后的残差使用LSTM进行预测,最后对预测结果进行检验和分析。