uni2ts
time-series-transformers-review
uni2ts | time-series-transformers-review | |
---|---|---|
2 | 85 | |
491 | 2,148 | |
55.8% | - | |
7.6 | 4.8 | |
3 days ago | about 2 months ago | |
Jupyter Notebook | ||
Apache License 2.0 | MIT License |
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uni2ts
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Moirai: A Time Series Foundation Model for Universal Forecasting
Code is available! https://github.com/SalesforceAIResearch/uni2ts
- Unified Training of Universal Time Series Forecasting Transformers
time-series-transformers-review
- time-series-transformers-review: NEW Data - star count:1424.0
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Covering the main Time Series Forecasting models
More papers on similar approaches listed here and here: "Application Domains of Time Series Transformers"
- time-series-transformers-review: NEW Data - star count:1114.0
What are some alternatives?
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 🚀.
gluonts - Probabilistic time series modeling in Python
neural_prophet - NeuralProphet: A simple forecasting package
F1FantasyData - Price and sentiment data from the f1 fantasy game.
Awesome-ComputerVision - Awesome-ComputerVision
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
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
DataAug4Code - Source Code Data Augmentation for Deep Learning: A Survey.
Awesome-Text2SQL - Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).