Time-Series-Library
neuralforecast
| Time-Series-Library | neuralforecast | |
|---|---|---|
| 3 | 84 | |
| 4,492 | 2,506 | |
| 11.8% | 7.7% | |
| 8.7 | 9.0 | |
| 2 days ago | 1 day ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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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.
Time-Series-Library
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[D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
Don't use an LSTM. Get up to date with SoTA methods and read the papers in the field. LSTMs are not the way forward. Read the papers I suggested. It would be very useful to come to grips with both the Time Series Repository (https://github.com/thuml/Time-Series-Library) and Darts (https://github.com/unit8co/darts) as these are widely used for research and in industry.
- GitHub - thuml/Time-Series-Library: A Library for Advanced Deep Time Series Models.
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Inverted Transformers Are Effective for Time Series Forecasting
Cool! I find it has been implemented in the tslib (https://github.com/thuml/Time-Series-Library), the results seem promising when I reproduce the experiments.
neuralforecast
- [D] Doubts on the implementation of LSTMs for timeseries prediction (like including weather forecasts)
- neuralforecast: NEW Data - star count:1877.0
- neuralforecast: NEW Data - star count:1773.0
- neuralforecast: NEW Data - star count:1749.0
- neuralforecast: NEW Data - star count:1696.0
- neuralforecast: NEW Data - star count:1663.0
What are some alternatives?
autogluon - Fast and Accurate ML in 3 Lines of Code
darts - A python library for user-friendly forecasting and anomaly detection on time series.
mlops-v2 - Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
pytorch-forecasting - Time series forecasting with PyTorch
autogluon - AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data [Moved to: https://github.com/autogluon/autogluon]
statsforecast - Lightning ⚡️ fast forecasting with statistical and econometric models.
nsfw_data_scraper - Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
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 🚀.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
vosk-build-model - How to create your own model for vosk
flow-forecast - Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).