manateechen's Stars
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
yuqinie98/PatchTST
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
zflamig/sns-gfs-parquet
HeQinWill/CNEMC
获取**环境总站 CNEMC 发布的实时空气质量数据
matthiasdemuzere/w2w
A python tool that ingests WUDAPT information into WRF.
funningboy/scrapy_giant
taiwan stock crawler/analysis
microsoft/qlib
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
zhouhaoyi/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
sixChar/predicting-air-quality-with-lstm
Contains code for building a simple lstm model to predict hourly Beijing air quality data.
titu1994/MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
DrJZhou/KDD_CUP_2018
KDD CUP 2018
yacoubb/stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
Louis-He/station_forecast
get ECMWF and GFS weather model forecast for a single location in next 120Hrs
IHCantabria/Leaflet.CanvasLayer.Field
Load and style Raster files in Leaflet (geotiff & asciigrid)
cloudybay/leaflet-windy
Asperhsu/airmap-frontend-v5
g0v airmap frontend v5
MeteoAI/awesome-atmos
A curated list of awesome Python libraries, software and resources in Atmosphere, Environment and Machine Learning
moyuweiqing/A-stock-prediction-algorithm-based-on-machine-learning
(陆续更新)重新整理过的基于机器学习的股票价格预测算法,里面包含了基本的回测系统以及各种不同的机器学习算法的股票价格预测,包含:LSTM算法、Prophet算法、AutoARIMA、朴素贝叶斯、SVM、随机森林等
happynoom/DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
yangwohenmai/DeepLearningForTSF
深度学习以进行时间序列预测
LongxingTan/Time-series-prediction
tfts: Time Series Deep Learning Models in TensorFlow
robertmartin8/MachineLearningStocks
Using python and scikit-learn to make stock predictions
tradytics/surpriver
Find big moving stocks before they move using machine learning and anomaly detection
pushpendughosh/Stock-market-forecasting
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
rifleak74/MarketDataScience
arleigh418/Paper-Implementation-DSTP-RNN-For-Stock-Prediction-Based-On-DA-RNN
基於DA-RNN之DSTP-RNN論文試做(Ver1.0)
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
shunyaoshih/TPA-LSTM
Temporal Pattern Attention for Multivariate Time Series Forecasting
umwm/umwm
University of Miami Wave Model