Prophet
Pattern
Prophet | Pattern | |
---|---|---|
221 | 2 | |
17,743 | 8,662 | |
1.2% | 0.3% | |
6.2 | 0.0 | |
27 days ago | 10 months ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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.
Prophet
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Moirai: A Time Series Foundation Model for Universal Forecasting
https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
- prophet: NEW Data - star count:15889.0
Pattern
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Discussion Thread
if you're curious about the nitty gritty, the parsing module's documentation is well written and doesn't require a comp sci or linguistics degree to get the gist of what's happening.
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What would an interesting and applicable PhD topic?
Spacy. If you have time, explore nltk (the NLTK book is actually a really good place to start). I'm kind of fond of the https://github.com/clips/pattern -- it doesn't get the appreciation it deserves
What are some alternatives?
tensorflow - An Open Source Machine Learning Framework for Everyone
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
darts - A python library for user-friendly forecasting and anomaly detection on time series.
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
scikit-learn - scikit-learn: machine learning in Python
NLTK - NLTK Source
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
textacy - NLP, before and after spaCy
greykite - A flexible, intuitive and fast forecasting library
quepy - A python framework to transform natural language questions to queries in a database query language.
MLflow - Open source platform for the machine learning lifecycle
pkuseg-python - pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation