time-series-transformers-review
gluonts
| time-series-transformers-review | gluonts | |
|---|---|---|
| 85 | 4 | |
| 2,103 | 4,297 | |
| - | 2.0% | |
| 4.8 | 8.7 | |
| 26 days ago | 7 days ago | |
| Python | ||
| MIT License | Apache License 2.0 |
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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
gluonts
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Show HN: Auto Wiki v2 – Turn your codebase into a Wiki now with diagrams
https://github.com/awslabs/gluonts is a great candidate for a sample wiki. It is an OSS lib, not great documentation, very hard to RTFM (unlike, say, sklearn which already has a great wiki), doubtful that awslabs would pay to produce.
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gluonts VS darts - a user suggested alternative
2 projects | 13 Apr 2023
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[Q] `py.typed` and `.typesafe`
I was looking at [`gluonts`](https://github.com/awslabs/gluonts/tree/dev/src/gluonts/core) source code and I found a `py.typed` file. That is something I always put in my type-annotated modules: it's literally an empty file which denotes that the module is marked for "internal or external use in type checking" [mypy docs](https://mypy.readthedocs.io/en/stable/installed_packages.html?highlight=py.typed#creating-pep-561-compatible-packages). However, I never saw before the `.typesafe` file. What does it denote? Does it have to be used alongside a `py.typed`?
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Cash-flow forecasting
-GluonTS
What are some alternatives?
neural_prophet - NeuralProphet: A simple forecasting package
darts - A python library for user-friendly forecasting and anomaly detection on time series.
F1FantasyData - Price and sentiment data from the f1 fantasy game.
pytorch-forecasting - Time series forecasting with PyTorch
Awesome-ComputerVision - Awesome-ComputerVision
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker