|
python-horovod
|
0.28.1-4 |
0 |
0.00
|
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet |
hottea
|
2024-04-28 14:30 (UTC) |
|
r-keras
|
2.15.0-1 |
0 |
0.00
|
R Interface to 'Keras' |
BioArchLinuxBot
|
2024-04-20 06:03 (UTC) |
|
python-scikeras
|
0.12.0-1 |
0 |
0.00
|
Scikit-Learn compatible wrappers for Keras Models |
beroal
|
2024-03-02 12:30 (UTC) |
|
python-qualia-codegen-core
|
2.2.0-1 |
0 |
0.00
|
Convert a pre-trained Keras .h5 or PyTorch model to C code for inference. |
piernov
|
2024-03-01 13:43 (UTC) |
|
python-keras-flops
|
0.1.2-2 |
0 |
0.00
|
FLOPs calculator for TF2+ |
hv15
|
2023-08-30 07:22 (UTC) |
|
python-keras-git
|
2.9.0rc0.r372.g83852348f-1 |
1 |
0.00
|
A Python deep learning API, running on TensorFlow (git version) |
orphan
|
2022-06-19 01:04 (UTC) |
|
python-mtcnn-git
|
0.1.0+r55.20210114.8efabec-1 |
0 |
0.00
|
Implementation of the MTCNN face detector for Keras. Written from scratch, using as a reference the implementation of MTCNN from David Sandberg (FaceNet’s MTCNN) in Facenet. Based on the paper Zhang, K et al. (2016) |
dreieck
|
2021-05-18 12:14 (UTC) |
|
python-mtcnn
|
0.1.0-1 |
2 |
0.01
|
Implementation of the MTCNN face detector for Keras. Written from scratch, using as a reference the implementation of MTCNN from David Sandberg (FaceNet’s MTCNN) in Facenet. Based on the paper Zhang, K et al. (2016) |
dreieck
|
2021-05-18 12:00 (UTC) |
|
python-talos
|
1.0-1 |
0 |
0.00
|
Talos radically changes the ordinary Keras workflow by fullyautomating hyperparameter tuning and model evaluation. Talos exposes Keras functionality entirely and there is no new syntax or templates to learn. |
kryptato
|
2021-01-27 23:29 (UTC) |
|
python-kerasplotlib
|
0.1.6-1 |
0 |
0.00
|
Kerasplotlib provides a useful interface for Keras users that meet many common visualization needs related with training and evaluating deep learning models. |
kryptato
|
2021-01-27 23:27 (UTC) |
|
python-foolbox-git
|
3.1.1.r0.gef30f7f-1 |
1 |
0.00
|
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
2020-08-31 17:49 (UTC) |
|
python-eagerpy-git
|
0.29.0.r0.g2acb7f9-1 |
1 |
0.00
|
Toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, |
otaj
|
2020-08-31 17:40 (UTC) |
|
python-params-flow
|
0.8.2-1 |
0 |
0.00
|
A TensorFlow Keras coding style for reducing boilerplate code in custom layers and models. |
naetherm
|
2020-08-02 06:37 (UTC) |
|
python-tensorflow-model-optimization-git
|
r327.c791831-1 |
0 |
0.00
|
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning. |
piernov
|
2020-06-19 09:53 (UTC) |
|
python-plaidml-keras
|
0.7.0-1 |
3 |
0.00
|
PlaidML Keras backend implementation |
trougnouf
|
2020-04-12 23:34 (UTC) |
|
python-hiddenlayer
|
0.2-1 |
1 |
0.65
|
A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras |
hottea
|
2019-11-17 02:31 (UTC) |
|
python-keras-vis
|
0.4.1-3 |
0 |
0.00
|
Neural Network visualization toolkit for keras |
trougnouf
|
2018-07-24 19:20 (UTC) |