| FluxML/Zygote.jl |
1,415 |
|
0 |
0 |
about 2 years ago |
0 |
|
418 |
other |
Julia |
| 21st century AD |
| EnzymeAD/Enzyme |
1,100 |
|
0 |
0 |
about 2 years ago |
0 |
|
137 |
other |
LLVM |
| High-performance automatic differentiation of LLVM and MLIR. |
| mcabbott/Tullio.jl |
559 |
|
0 |
0 |
over 2 years ago |
0 |
|
65 |
mit |
Julia |
| ⅀ |
| JuliaDiff/ReverseDiff.jl |
327 |
|
0 |
0 |
over 2 years ago |
0 |
|
73 |
other |
Julia |
| Reverse Mode Automatic Differentiation for Julia |
| mstksg/backprop |
180 |
|
18 |
0 |
over 2 years ago |
23 |
July 23, 2023 |
4 |
bsd-3-clause |
Haskell |
| Heterogeneous automatic differentiation ("backpropagation") in Haskell |
| denizyuret/AutoGrad.jl |
160 |
|
0 |
0 |
about 4 years ago |
0 |
|
19 |
other |
Julia |
| Julia port of the Python autograd package. |
| botkop/scorch |
104 |
|
0 |
0 |
almost 6 years ago |
2 |
December 27, 2018 |
2 |
bsd-2-clause |
Scala |
| scorch is a deep learning framework in Scala inspired by PyTorch |
| pierreablin/autoptim |
91 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
mit |
Python |
| Automatic differentiation + optimization |
| wangleiphy/tensorgrad |
90 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Differentiable Programming Tensor Networks |
| can-lehmann/exprgrad |
70 |
|
0 |
0 |
over 3 years ago |
0 |
November 27, 2023 |
1 |
apache-2.0 |
Nim |
| An experimental deep learning framework for Nim based on a differentiable array programming language |
