| awjuliani/DeepRL-Agents |
2,004 |
|
0 |
0 |
about 7 years ago |
0 |
|
44 |
mit |
Jupyter Notebook |
| A set of Deep Reinforcement Learning Agents implemented in Tensorflow. |
| shekkizh/FCN.tensorflow |
1,255 |
|
0 |
0 |
about 4 years ago |
0 |
|
25 |
mit |
Jupyter Notebook |
| Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org) |
| EnzymeAD/Enzyme |
1,100 |
|
0 |
0 |
about 2 years ago |
0 |
|
137 |
other |
LLVM |
| High-performance automatic differentiation of LLVM and MLIR. |
| sicara/tf-explain |
934 |
|
1 |
7 |
almost 4 years ago |
8 |
November 18, 2021 |
41 |
mit |
Python |
| Interpretability Methods for tf.keras models with Tensorflow 2.x |
| 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). |
| PatWie/CppNumericalSolvers |
766 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
mit |
C++ |
| a lightweight C++17 library of numerical optimization methods for nonlinear functions (Including L-BFGS-B for TensorFlow) |
| Zardinality/WGAN-tensorflow |
557 |
|
0 |
0 |
over 8 years ago |
0 |
|
11 |
|
Jupyter Notebook |
| a tensorflow implementation of WGAN |
| shekkizh/WassersteinGAN.tensorflow |
415 |
|
0 |
0 |
about 9 years ago |
0 |
|
7 |
mit |
Python |
| Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875 |
| geektutu/tensorflow-tutorial-samples |
356 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Python |
| TensorFlow2教程 TensorFlow 2.0 Tutorial 入门教程实战案例 |
| skcript/tensorflow-resources |
327 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
mit |
Python |
| Curated Tensorflow code resources to help you get started with Deep Learning. |
