Top 4 Python Autodiff Projects
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uncertainties
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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memoized_coduals
Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers
You can implement autograd as a library. Just take a look at this
https://github.com/sradc/SmallPebble
The first line of the description is:
> SmallPebble is a minimal automatic differentiation and deep learning library written from scratch in Python, using NumPy/CuPy.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Autodiff related posts
Index
What are some of the best open-source Autodiff projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | uncertainties | 528 |
2 | MyGrad | 186 |
3 | SmallPebble | 112 |
4 | memoized_coduals | 3 |
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