ChainRules.jl
YouTubeVideoTimestamps
Our great sponsors
ChainRules.jl | YouTubeVideoTimestamps | |
---|---|---|
1 | 2 | |
409 | 53 | |
0.2% | - | |
8.6 | 0.0 | |
12 days ago | 7 months ago | |
Julia | Julia | |
GNU General Public License v3.0 or later | MIT 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.
ChainRules.jl
-
Automatic Differentiation Does Incur Truncation Errors (Kinda)
The Julia ecosystem provides has a library that includes the differentiation rules hinted at at the end.
https://github.com/JuliaDiff/ChainRules.jl is used by (almost all) automatic differentiation engines and provides an extensive list of such rules.
If the example used sin|cos the auto diff implementations in Julia would have called native cos|-sin and not encurred such a "truncation error". However the post illustrates the idea in a good way.
Good post oxinabox
YouTubeVideoTimestamps
-
JuliaCon 2022 YouTube Playlist has duplicate videos
Issue submitted.
What are some alternatives?
Enzyme.jl - Julia bindings for the Enzyme automatic differentiator
Javis.jl - Julia Animations and Visualizations
ForwardDiff.jl - Forward Mode Automatic Differentiation for Julia
DataFrames.jl - In-memory tabular data in Julia
Zygote.jl - 21st century AD
Gadfly.jl - Crafty statistical graphics for Julia.
julia - The Julia Programming Language
Agents.jl - Agent-based modeling framework in Julia
Enzyme - JavaScript Testing utilities for React
CUDA.jl - CUDA programming in Julia.
Enzyme - High-performance automatic differentiation of LLVM and MLIR.
Plots.jl - Powerful convenience for Julia visualizations and data analysis