sktime
datatable
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sktime | datatable | |
---|---|---|
8 | 9 | |
7,387 | 1,785 | |
2.1% | 0.5% | |
9.8 | 6.1 | |
about 18 hours ago | 5 months ago | |
Python | C++ | |
BSD 3-clause "New" or "Revised" License | Mozilla Public License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
sktime
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Keras-tuner tuning hyperparam controlling feature size
I would recommend you to read the following paper: https://arxiv.org/abs/1909.04939 and their implementation: https://github.com/hfawaz/InceptionTime . Moreover, check out sktime: https://github.com/sktime/sktime
- Forecasting three months ahead.
- Scikit-Learn Version 1.0
- Darts: Non-Facebook alternative for timeseries forecasting
datatable
- Any advice on using Pandas as a data analyst?
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Alternative to Pandas
There's datatable. I haven't used it much, but the R version (data.table) is phenomenal.
- Massive R analysis of Data Science Language and Job Trends 2022
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Scikit-Learn Version 1.0
> For me I had with pandas the most issues using it's multiindex.
Yessss. I loathe indices, and have never been in a situation where I was better off with them than without them.
> Regarding fast you have something like Vaex on python sid
I've never used Vaex, but I've used datatable (https://github.com/h2oai/datatable) and polars (https://github.com/pola-rs/polars). Polars is my favorite API, but datatable was faster at reading data (Polars was faster in execution). I'll have to give Vaex a try at some point.
- Show HN: Sheet2dict – simple Python XLSX/CSV reader/to dictionary converter
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Ditching Excel for Python in a Legacy Industry (Reinsurance)
h2o's data.table clone is fine
What are some alternatives?
darts - A python library for user-friendly forecasting and anomaly detection on time series.
tslearn - The machine learning toolkit for time series analysis in Python
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
scikit-hts - Hierarchical Time Series Forecasting with a familiar API
scikit-learn - scikit-learn: machine learning in Python
sysidentpy - A Python Package For System Identification Using NARMAX Models
greykite - A flexible, intuitive and fast forecasting library
sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
InceptionTime - InceptionTime: Finding AlexNet for Time Series Classification