9 results found Sort:

105
1.8k
other
33
Deep learning in Rust, with shape checked tensors and neural networks
Created 2021-10-12
890 commits to main branch, last one about a year ago
175
1.7k
mit
43
automatic differentiation made easier for C++
Created 2018-07-19
597 commits to main branch, last one 21 days ago
54
1.1k
apache-2.0
27
Tensors and dynamic neural networks in pure Rust.
Created 2021-02-13
119 commits to main branch, last one 2 years ago
79
599
other
13
Transparent calculations with uncertainties on the quantities involved (aka "error propagation"); calculation of derivatives.
Created 2010-06-11
2,653 commits to master branch, last one 23 days ago
21
198
mit
15
Drop-in autodiff for NumPy.
Created 2017-07-17
1,586 commits to master branch, last one about a month ago
FastAD is a C++ implementation of automatic differentiation both forward and reverse mode.
Created 2019-04-17
375 commits to master branch, last one about a year ago
Differentiate python calls from Julia
Created 2022-01-20
75 commits to main branch, last one 2 years ago
XLuminA, a highly-efficient, auto-differentiating discovery framework for super-resolution microscopy.
Created 2023-10-26
148 commits to main branch, last one 2 months ago
3
40
bsd-3-clause
3
Fazang is a Fortran library for reverse-mode automatic differentiation, inspired by Stan/Math library.
Created 2022-01-24
66 commits to main branch, last one 2 years ago