xycking Goto Github PK

arima

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

cnn-bilstm-attention-time-series-prediction_keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

duel-staged-attention-for-nyc-weather-prediction

Dual Staged Attention Model for Time Series prediction

facets

机器学习数据集的可视化

fairseq

Facebook AI研究序列到序列工具包，用Python编写。

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers

Must-read papers on graph neural networks (GNN)

libpku

贵校课程资料民间整理

lstm-neural-network-for-time-series-prediction

LSTM使用Keras Python包构建，用于预测时间序列步骤和序列。包括正弦波和股市数据

lstm-xgboost

LSTM-XGBoost Time Series Forecasting

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

pythoncourse

Courses for Python Learning

sklearn-doc-zh

:book: [译] scikit-learn（sklearn） 中文文档

sonnet

TensorFlow-based neural network library

stock-price-prediction

This project uses jqdata to forecast the price of Chinese stock. The methods used include LSTM, LSTM_CNN, CNN_ LSTM, AdaBoost, random forest, and using AdaBoost to integrate LSTM

tensor2tensor

深度学习模型和数据集库，旨在使深度学习更容易访问并加速ML研究。

the-first

time-series-works-conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKMetc.)

timeseries-seq2seq-deeplstms-keras

This project aims to give you an introduction to how Seq2Seq based encoder-decoder neural network architectures can be applied on time series data to make forecasts. The code is implemented in pyhton with Keras (Tensorflow backend).

traffic-prediction-open-code-summary

Summary of open source code for deep learning models in the field of traffic prediction

transportationnetworks

Transportation Networks for Research

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

ustc-course

:heart:**科学技术大学课程资源

vesseltrajectoryprediction

lstm-rnn, seq2seq model and attention-seq2seq model for vessel trajectory prediction.

zihaopython

follow me and learn python easily

zju-icicles

浙江大学课程攻略共享计划