uni2ts
gluonts
uni2ts | gluonts | |
---|---|---|
2 | 4 | |
491 | 4,347 | |
55.8% | 3.2% | |
7.6 | 8.7 | |
2 days ago | 16 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | Apache License 2.0 |
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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
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?
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 🚀.
darts - A python library for user-friendly forecasting and anomaly detection on time series.
pytorch-forecasting - Time series forecasting with PyTorch
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
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
neuralforecast - Scalable and user friendly neural :brain: forecasting algorithms.
time-series-transformers-review - A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
sagemaker-python-sdk - A library for training and deploying machine learning models on Amazon SageMaker
chronos-forecasting - Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
datajob - Build and deploy a serverless data pipeline on AWS with no effort.
query-selector - LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION