Deep learning PyTorch library for time series forecasting
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Aug 19, 2023 - Python
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autoformer
Here are 12 public repositories matching this topic...
Time series Forecasting on the NTU_RGB+D skeleton dataset using AutoFormer and FEDFormer
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Oct 4, 2024 - Python
PyTorch image classification models pre-trained
models pytorch image-classification darts nas automl mobilenet nasnet pcdarts pdarts eeea-nets autoformer autoformerv2
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Oct 10, 2023 - Python
Tokenization Matters: A Fair Ablation of Point-wise, and Variate-wise Transformers for Financial Time Series. (includes PatchTST, iTransformer, Crossformer, Autoformer, Fedformer, Informer, TimeNet, and non-stationarity extensions.
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Sep 27, 2025 - Python
A novel deep transfer learning framework for forecasting NavIC satellite ephemeris and clock errors. PRESTO overcomes extreme data scarcity using a hybrid architecture (GNNs + Semiparametric Decomposition + Autoformers) and synthetic data augmentation to generate normally distributed prediction residuals.
open-source deep-learning transfer-learning gnss isro probabilistic-forecasting satellite-navigation pytorch-geometric gnn navic autoformer clock-bias ephemeris-error semiparametric-decomposition
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Jan 3, 2026 - Jupyter Notebook
An autoregressive forecasting implementation of a LSTM network, NBEATS architecture, ARIMA and SARIMAX regressions, and Autoformer architecture on rupee dollar exchange rates using pytorch, pytorch lightning, pytorch-forecasting, and GluonTS
time-series lstm-neural-networks pytorch-lightning gluonts huggingface-transformers long-term-forecasting nbeats autoformer pytorch-forecasting
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Jul 15, 2024 - Jupyter Notebook
A novel deep transfer learning framework for forecasting NavIC satellite ephemeris and clock errors. PRESTO overcomes extreme data scarcity using a hybrid architecture (GNNs + Semiparametric Decomposition + Autoformers) and synthetic data augmentation to generate normally distributed prediction residuals.
open-source deep-learning transfer-learning gnss isro satellite-navigation pytorch-geometric gnn navic autoformer clock-bias ephemeris-error semiparametric-decomposition probabilisitic-forecasting
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Jan 3, 2026 - Jupyter Notebook
Training a financial forecasting model based on the AutoFormer architecture with PyTorch and Alpaca.py
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Oct 30, 2024 - Python
8. Autoformer: Self-Learning Decomposition (Dynamic Decomposition). Hibridne arhitekture za predikciju koje kombinuju deep learning i klasične time-series modele.
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May 25, 2026 - Python
This study examines the effectiveness of transformer-based models for financial time series forecasting, specifically focusing on log returns derived from daily closing prices of the DAX40 index. We propose a decoder-only transformer model designed for immediate-term financial time series forecasting: The PatternDecoder.
transformer lstm convolutional-neural-networks informer time-series-analysis autoformer decoder-only
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Jul 18, 2026 - Jupyter Notebook
Comparative Study of Deep Learning Time Series on Predicting Egg Price (GRU, LSTM, Informer and Autoformer)
deep-learning recurrent-neural-networks transformer lstm gru informer time-series-forecasting autoformer
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Feb 16, 2026 - Jupyter Notebook
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