| Name | Version | Summary | date |
| nnabla-ext-cuda120 |
1.39.0 |
A CUDA(12.0) and cuDNN(8.8.0) extension of NNabla |
2024-05-29 02:57:03 |
| nnabla-ext-cuda116 |
1.39.0 |
A CUDA(11.6) and cuDNN(8.4.0) extension of NNabla |
2024-05-29 02:54:23 |
| nnabla-rl |
0.15.0 |
Deep reinforcement learning library built on top of Neural Network Libraries |
2024-05-29 02:53:29 |
| nnabla-ext-cuda110 |
1.39.0 |
A CUDA(11.0) and cuDNN(8.0.5) extension of NNabla |
2024-05-29 02:52:04 |
| nnabla |
1.39.0 |
Neural Network Libraries |
2024-05-29 02:51:02 |
| nn-parts |
2024.0.3 |
Diagnois and Triage Neural Network |
2024-05-11 00:15:54 |
| simple-neural-works |
1.0.0 |
This is the simplest module for quick work with neural networks. |
2024-04-20 18:10:46 |
| ffnet |
0.8.6 |
Feed-forward neural network solution for python |
2024-03-23 10:13:28 |
| saliency |
0.2.1 |
Framework-agnostic saliency methods |
2024-03-20 19:51:30 |
| numpynet |
0.1.0 |
Simple neural network implementation with numpy |
2024-03-17 23:03:26 |
| weightwatcher |
0.7.5.2 |
Diagnostic Tool for Deep Neural Networks |
2024-03-06 07:30:13 |
| kgcnn |
4.0.1 |
General Base Layers for Graph Convolutions with Keras |
2024-02-27 12:33:31 |
| neural-net-drawer |
0.0.4 |
Plugin for visual display of a neural network. |
2024-02-11 21:03:26 |
| neuralhydrology |
1.10.0 |
Library for training deep learning models with environmental focus |
2024-02-08 08:32:57 |
| marqo1 |
2.1.0 |
Tensor search for humans |
2024-01-12 05:46:32 |
| hanz |
0.1.5 |
|
2024-01-02 01:08:27 |
| tmeasures |
1.2.11 |
Invariance, Same-Equivariance and other measures for Neural Networks. Support for PyTorch (now) and TensorFlow (coming). |
2023-12-27 15:05:37 |
| scann-model |
1.0 |
SCANN - Self-Consistent Atention-based Neural Network |
2023-12-17 16:30:48 |
| machine-learning-with-graph |
0.0.3 |
A comprehensive package for graph-based machine learning algorithms. |
2023-12-11 02:17:36 |
| nnabla-nas |
0.15.0 |
Use NNC compute resource from NNabla |
2023-11-07 01:19:17 |