- Autoformer VS awesome-ai-ml-dl
- Autoformer VS Time-Series-Transformer
- Autoformer VS Getting-Things-Done-with-Pytorch
- Autoformer VS dtan
- Autoformer VS stock-prediction-deep-neural-learning
- Autoformer VS Deep_XF
- Autoformer VS nixtla
- Autoformer VS tsai
- Autoformer VS fg-data-synthetic
- Autoformer VS telemanom
Autoformer Alternatives
Similar projects and alternatives to Autoformer
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awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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Time-Series-Transformer
A data preprocessing package for time series data. Design for machine learning and deep learning.
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Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
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dtan
Official PyTorch implementation for our NeurIPS 2019 paper, Diffeomorphic Temporal Alignment Nets. TensorFlow\Keras version is available at tf_legacy branch.
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stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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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.
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nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
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tsai
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
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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.
Autoformer discussion
Autoformer reviews and mentions
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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
Stats
thuml/Autoformer is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Autoformer is Jupyter Notebook.