Hacker News
- Darts: A Python library for easy manipulation and forecasting of time series https://github.com/unit8co/darts 43 comments
Linking pages
- Console #67 -- Airyx, Darts, and Topfew - by Jackson Kelley https://console.substack.com/p/console-67?r=3cbez 0 comments
- Darts: Time Series Made Easy in Python | by Julien Herzen | Unit8 - Big Data & AI | Medium https://medium.com/unit8-machine-learning-publication/darts-time-series-made-easy-in-python-5ac2947a8878 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- GitHub - rob-med/awesome-TS-anomaly-detection: List of tools & datasets for anomaly detection on time-series data. https://github.com/rob-med/awesome-TS-anomaly-detection 0 comments
- Machine Learning Toolbox https://amitness.com/toolbox/ 0 comments
- GitHub - Nixtla/hierarchicalforecast: Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods. https://github.com/Nixtla/hierarchicalforecast 0 comments
- GitHub - MaxBenChrist/awesome_time_series_in_python: This curated list contains python packages for time series analysis https://github.com/MaxBenChrist/awesome_time_series_in_python 0 comments
- Using deep learning to analyze data https://www.thelis.org/blog/using-ml-for-analysis 0 comments
Linked pages
- GitHub - facebook/prophet: Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. https://github.com/facebook/prophet 89 comments
- virtualenv https://virtualenv.pypa.io/en/latest/ 25 comments
- GitHub - Nixtla/statsforecast: Lightning ⚡️ fast forecasting with statistical and econometric models. https://github.com/Nixtla/statsforecast 22 comments
- GitHub - psf/black: The uncompromising Python code formatter https://github.com/psf/black 8 comments
- [2205.13504] Are Transformers Effective for Time Series Forecasting? https://arxiv.org/abs/2205.13504 7 comments
- https://robjhyndman.com/papers/Theta.pdf 1 comment
- Darts: User-Friendly Modern Machine Learning for Time Series https://jmlr.org/papers/v23/21-1177.html 0 comments
- Darts: Time Series Made Easy in Python | by Julien Herzen | Unit8 - Big Data & AI | Medium https://medium.com/unit8-machine-learning-publication/darts-time-series-made-easy-in-python-5ac2947a8878 0 comments
- venv â Creation of virtual environments — Python 3.11.2 documentation https://docs.python.org/3/library/venv.html#module-venv 0 comments
- [1803.01271] An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling https://arxiv.org/abs/1803.01271 0 comments
- [2304.08424] Long-term Forecasting with TiDE: Time-series Dense Encoder https://arxiv.org/abs/2304.08424 0 comments
- [2201.12886] N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting https://arxiv.org/abs/2201.12886 0 comments
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