python-tensorflow-opt-rocm
|
2.15.0-8 |
11 |
0.01
|
Library for computation using data flow graphs for scalable machine learning (with ROCM and AVX CPU optimizations) |
acxz
|
2023-12-27 21:32 (UTC) |
photoprism
|
231128-0 |
13 |
0.04
|
Personal Photo Management powered by Go and Google TensorFlow |
thomaseizinger
|
2023-12-04 07:59 (UTC) |
python-tensorflow-probability
|
0.24.0-1 |
5 |
0.12
|
Probabilistic reasoning and statistical analysis in TensorFlow |
oysstu
|
2024-03-13 12:53 (UTC) |
python-tensorflow-datasets
|
4.9.4-1 |
1 |
0.14
|
tensorflow/datasets is a library of datasets ready to use with TensorFlow. |
Rubo
|
2024-03-27 21:43 (UTC) |
python-tensorflow-metadata
|
1.15.0-1 |
1 |
0.14
|
Library and standards for schema and statistics. |
Rubo
|
2024-04-26 21:01 (UTC) |
python-torchdatasets-git
|
0.2.0.25.g0389fee-1 |
1 |
0.14
|
PyTorch dataset extended with map, cache etc. (tensorflow.data like) |
orphan
|
2022-06-09 04:40 (UTC) |
python-sonnet-git
|
20180531.170829-1 |
1 |
0.32
|
TensorFlow-based neural network library. |
orphan
|
2018-06-02 04:31 (UTC) |
python-sonnet-cuda-git
|
20180531.170829-1 |
1 |
0.32
|
TensorFlow-based neural network library. |
orphan
|
2018-06-02 04:31 (UTC) |
python-hiddenlayer
|
0.2-1 |
1 |
0.57
|
A lightweight library for neural network graphs and training metrics for PyTorch, Tensorflow, and Keras |
hottea
|
2019-11-17 02:31 (UTC) |
python-transformers
|
4.40.2-2 |
8 |
0.87
|
State-of-the-art Natural Language Processing for Jax, PyTorch and TensorFlow |
xiota
|
2024-05-07 09:57 (UTC) |
python-einops
|
0.8.0-1 |
2 |
0.96
|
Deep learning operations reinvented (for pytorch, tensorflow, jax and others) |
hottea
|
2024-04-28 04:28 (UTC) |