gluonts
time-series-transformers-review
| gluonts | time-series-transformers-review | |
|---|---|---|
| 4 | 85 | |
| 4,308 | 2,103 | |
| 2.3% | - | |
| 8.7 | 4.8 | |
| 2 days ago | 29 days ago | |
| Python | ||
| Apache License 2.0 | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
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?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
neural_prophet - NeuralProphet: A simple forecasting package
pytorch-forecasting - Time series forecasting with PyTorch
F1FantasyData - Price and sentiment data from the f1 fantasy game.
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
Awesome-ComputerVision - Awesome-ComputerVision
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
ETSformer - PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
awesome-project-ideas - Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker