Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Backprop | 180 | 18 | 9 months ago | 23 | July 23, 2023 | 4 | bsd-3-clause | Haskell | ||
Heterogeneous automatic differentiation ("backpropagation") in Haskell | ||||||||||
Notebooks | 101 | 2 years ago | 2 | Jupyter Notebook | ||||||
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. | ||||||||||
Abstractoperators.jl | 28 | 10 months ago | 2 | other | Julia | |||||
Abstract operators for large scale optimization in Julia | ||||||||||
Diffhask | 26 | 5 years ago | 7 | mit | Haskell | |||||
DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp. | ||||||||||
Appendices | 25 | 2 years ago | ||||||||
Complement the article 'Differential Machine Learning' (Huge & Savine, 2020), including mathematical proofs and important implementation details for production | ||||||||||
Qoc | 11 | 6 months ago | mit | Python | ||||||
GRAPE with autograd on the TDSE and LME in Python | ||||||||||
Sympyle | 9 | 6 years ago | 2 | July 12, 2018 | gpl-3.0 | Python | ||||
Automatic differentiation in python |