Ramsey-Jiang

Ramsey-Jiang's Stars

• zshicode/Attention-CLX-stock-prediction

  Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction

  Language:Python27568

• lilianweng/stock-rnn

  Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

  Language:Python1.8k661

• hthoai/stock-price-prediction

  In this project, we implement and compare the performance of several machine learning and deep learning algorithms in predicting the US stock market.

  Language:Jupyter Notebook4920

• thuml/Nonstationary_Transformers

  Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

  Language:Python47377

• allen-chiang/Time-Series-Transformer

  A data preprocessing package for time series data. Design for machine learning and deep learning.

  Language:Jupyter Notebook21036

• dhopp1/nowcasting_benchmark

  Accompaniment to nowcasting benchmark paper, illustrating how to estimate each of the methods examined in either R or Python.

  Language:Jupyter Notebook3917

• MajesticKhan/Nowcasting-Python

  Python Nowcasting

  Language:Python11936