| JuliaDiff/FiniteDiff.jl |
221 |
|
0 |
0 |
about 2 years ago |
0 |
|
17 |
other |
Julia |
| Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support |
| pbrod/numdifftools |
182 |
|
12 |
102 |
over 3 years ago |
25 |
November 10, 2022 |
10 |
bsd-3-clause |
Python |
| Solve automatic numerical differentiation problems in one or more variables. |
| suinleelab/path_explain |
134 |
|
1 |
1 |
over 4 years ago |
7 |
September 13, 2021 |
3 |
mit |
Jupyter Notebook |
| A repository for explaining feature attributions and feature interactions in deep neural networks. |
| lixilinx/psgd_torch |
86 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
|
Python |
| Pytorch implementation of preconditioned stochastic gradient descent (affine group preconditioner, low-rank approximation preconditioner and more) |
| eguidotti/calculus |
41 |
|
0 |
2 |
about 3 years ago |
11 |
March 09, 2023 |
0 |
gpl-3.0 |
R |
| High Dimensional Numerical and Symbolic Calculus in R |
| lixilinx/psgd_tf |
34 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
Python |
| Tensorflow implementation of preconditioned stochastic gradient descent |
| gusmaogabriels/optinpy |
28 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| Optimization in Python: Linear and non-linear optimization methods. |
| JuliaNLSolvers/NLSolvers.jl |
26 |
|
0 |
0 |
about 2 years ago |
0 |
|
19 |
mit |
Julia |
| No bells and whistles foundation of Optim.jl |
| deshanadesai/acorns |
21 |
|
0 |
0 |
over 4 years ago |
7 |
January 18, 2021 |
1 |
mit |
Python |
| https://arxiv.org/pdf/2007.05094.pdf An Easy-To-Use Code Generator for Gradients and Hessians |
| LinjianMa/AutoHOOT |
19 |
|
0 |
0 |
about 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Automatic High-Order Optimization for Tensors |
