| nlpodyssey/spago |
1,691 |
|
0 |
9 |
about 2 years ago |
35 |
October 30, 2023 |
11 |
bsd-2-clause |
Go |
| Self-contained Machine Learning and Natural Language Processing library in Go |
| facebookresearch/gtn |
443 |
|
0 |
0 |
over 4 years ago |
0 |
|
2 |
mit |
C++ |
| Automatic differentiation with weighted finite-state transducers. |
| mstksg/backprop |
180 |
|
18 |
0 |
over 2 years ago |
23 |
July 23, 2023 |
4 |
bsd-3-clause |
Haskell |
| Heterogeneous automatic differentiation ("backpropagation") in Haskell |
| realrate/Causing |
51 |
|
0 |
0 |
over 2 years ago |
19 |
October 25, 2022 |
1 |
mit |
Python |
| Causing: CAUsal INterpretation using Graphs |
| Kashu7100/Qualia2.0 |
41 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
mit |
Python |
| Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch. |
| triepels/cgraph |
10 |
|
0 |
0 |
almost 6 years ago |
0 |
|
0 |
apache-2.0 |
R |
| Computational Graphs in R |
| evcu/numpy_autograd |
9 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| a simple implementation of autograd engine |
| harveyslash/sympyle |
9 |
|
0 |
0 |
over 7 years ago |
2 |
July 12, 2018 |
0 |
gpl-3.0 |
Python |
| Automatic differentiation in python |
| Metadiff/graph-ir |
9 |
|
0 |
0 |
over 9 years ago |
0 |
|
1 |
apache-2.0 |
C++ |
| Graph Intermediate Representation |
| spawnfest/thales |
6 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
mit |
Erlang |
| Spawnfest 2018 project by Thales |
