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用深度学习思路与线性回归思路对黄金期货价格进行预测
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
A Library for Advanced Deep Time Series Models.
Latex code for making neural networks diagrams
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Tools to Design or Visualize Architecture of Neural Network
PyTorch implementation of "Rethinking the Power of Timestamps for Robust Time Series Forecasting: A Global-Local Fusion Perspective" (NeurIPS 2024)
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
a representation learning method that predicts the Fourier transform of state sequences to improve sample efficiency of RL algorithms.
Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"
FITS: Frequency Interpolation Time Series Analysis Baseline
Mamba4Cast, a zero-shot time series forecasting model, achieves competitive performance and faster inference than transformer-based models by leveraging Mamba architecture and synthetic training da…