Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

List of papers, code and experiments using deep learning for time series forecasting

list of papers, code, and other resources

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Resources about time series forecasting and deep learning.

Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

An experiemtal review on deep learning architectures for time series forecasting

使用SageMaker+XGBoost，将时间序列转换为监督学习，完成预测性维护的实践

Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.

R package - Dynamic Ensembles for Time Series Forecasting

Recurrent Graph Evolution Neural Network (ReGENN) using Graph Soft Evolution (GSE)

Neural Time Series Analysis

Machine Learning Practise

Time series forecasting for common inflators and economic indices using the forecast package in R.

Time Series Forecasting Models: ETS, ARIMA

Time series analysis written in python in a colab jupyter environment. Predominant libraries used were numpy, pandas and statsmodels.

Coding from classical methods applying in time series forecasting

The GFSM algorithm

GETS - Time Series Forecasting Framework using Grammatical Evolution.