Autoformer
stock-prediction-deep-neural-learning
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| Autoformer | stock-prediction-deep-neural-learning | |
|---|---|---|
| 1 | 44 | |
| 1,712 | 431 | |
| 5.4% | - | |
| 5.4 | 7.1 | |
| 3 months ago | 4 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Creative Commons Zero v1.0 Universal |
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Autoformer
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[P] ts-tok: Time-Series Forecasting with Classification
The CustomDataset can use the datasets from here: google drive. source: https://github.com/thuml/Autoformer
stock-prediction-deep-neural-learning
What are some alternatives?
Deep_XF - Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
mplfinance - Financial Markets Data Visualization using Matplotlib
dtan - Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
dm-haiku - JAX-based neural network library
easyesn - Python library for Reservoir Computing using Echo State Networks
MachineLearningStocks - Using python and scikit-learn to make stock predictions
telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.
sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
FinanceDataReader - Financial data reader [Moved to: https://github.com/financedata-org/FinanceDataReader]
yflive - Live Data Streamer for Yahoo! Finance