| PAIR-code/saliency |
893 |
|
1 |
5 |
over 2 years ago |
11 |
June 14, 2022 |
10 |
apache-2.0 |
Jupyter Notebook |
| Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more). |
| vacancy/PreciseRoIPooling |
757 |
|
0 |
0 |
over 3 years ago |
0 |
|
20 |
mit |
C++ |
| Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590). |
| mcabbott/Tullio.jl |
559 |
|
0 |
0 |
over 2 years ago |
0 |
|
65 |
mit |
Julia |
| ⅀ |
| marcoancona/DeepExplain |
471 |
|
0 |
0 |
over 5 years ago |
0 |
|
28 |
mit |
Python |
| A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018) |
| prolearner/hypertorch |
115 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
mit |
Python |
| clementfarabet/lua---nnx |
96 |
|
0 |
0 |
almost 9 years ago |
0 |
|
12 |
other |
Lua |
| An extension to Torch7's nn package. |
| wangleiphy/tensorgrad |
90 |
|
0 |
0 |
almost 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Differentiable Programming Tensor Networks |
| suinleelab/attributionpriors |
75 |
|
0 |
0 |
about 5 years ago |
4 |
October 31, 2019 |
0 |
mit |
Jupyter Notebook |
| Tools for training explainable models using attribution priors. |
| 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 |
| williamFalcon/pytorch-complex-tensor |
55 |
|
0 |
1 |
almost 6 years ago |
16 |
February 10, 2019 |
6 |
mit |
Python |
| Unofficial complex tensor and scalar support for Pytorch |
