Implementation of RevIN is based on TF2.Keras and PyTorch.
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Aug 4, 2023 - Python
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revin
Here are 6 public repositories matching this topic...
Multivariate natural gas forecasting in PyTorch: MTS-Mixers versus DLinear and RevIN, with cross-market feature ablations on Dukascopy hourly data.
python deep-learning pytorch forecasting dukascopy commodities natural-gas correlation-analysis time-series-forecasting quantitative-research ablation-study multivariate-time-series mlp-mixer revin dlinear cross-asset-analysis mts-mixers
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Sep 14, 2026 - Python
Deep Learning framework for large-scale network traffic forecasting on the CESNET-TimeSeries24 dataset.
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Jul 10, 2026 - Jupyter Notebook
High-performance multivariate long-horizon time-series forecasting in PyTorch using TiDE (Time-series Dense Encoder) with Reversible Instance Normalization (RevIN) and dynamic future covariates.
python machine-learning deep-learning tide pytorch multivariate-timeseries timeseries-forecasting revin
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Aug 20, 2026 - Python
Stock price prediction comparing PatchTST transformer vs baseline models (MLP, CNN, LSTM) on S&P 500 data
finance deep-learning time-series cnn pytorch transformer lstm forecasting technical-analysis stock-prediction sp500 financial-forecasting revin patchtst
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Jan 9, 2026 - Jupyter Notebook
Natural gas time-series forecasting research in PyTorch: Frequency Adaptive Normalization (FAN), RevIN, and DLinear benchmarks on Dukascopy hourly data.
python deep-learning time-series signal-processing pytorch forecasting fft dukascopy normalization commodities natural-gas time-series-forecasting neurips quantitative-research revin dlinear non-stationary-time-series frequency-adaptive-normalization
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Sep 14, 2026 - Python
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