Name | Version | Summary | date |
experimental-torch-directml |
0.1.13.dev23122022132839 |
A DirectML backend for hardware acceleration in PyTorch. |
2022-12-23 13:39:42 |
bsrgan |
0.1.5 |
Packaged version of the BSRGAN repository |
2022-12-23 08:37:46 |
lightning-lite |
1.8.6 |
|
2022-12-21 19:21:00 |
torch-graph-force |
0.1.1 |
Force-directed layouts for Large Graphs with GPU acceleration |
2022-12-21 16:13:46 |
dgllife |
0.3.1 |
DGL-based package for Life Science |
2022-12-21 13:16:23 |
yolov7-easy |
0.0.1 |
Packaged version of the Yolov7 repository |
2022-12-20 14:57:25 |
RLPack |
1.0.1 |
Implementation of RL Algorithms |
2022-12-20 01:24:03 |
torch-stream |
0.0.1 |
Building blocks for Continual Inference Networks in PyTorch |
2022-12-16 08:31:14 |
pytorch-stream |
0.0.1 |
Building blocks for Continual Inference Networks in PyTorch |
2022-12-16 08:24:01 |
skyline-profiler |
0.12.1 |
Interactive performance profiling and debugging tool for PyTorch neural networks. |
2022-12-14 22:50:06 |
lightning-training-studio |
0.0.7 |
Lightning HPO |
2022-12-12 10:00:41 |
lightning-hpo |
0.0.7 |
Lightning HPO |
2022-12-09 02:15:21 |
quaterion-models |
0.1.19 |
The collection of building blocks to build fine-tunable similarity learning models |
2022-12-08 09:10:24 |
v-pyiqa |
0.1.5 |
PyTorch Toolbox for Image Quality Assessment |
2022-12-03 17:37:20 |
PaoDing |
0.1.1 |
An NLP-oriented PyTorch wrapper that makes your life easier. |
2022-12-02 19:59:55 |
Metric-Learning-Layers |
0.1.6 |
A simple PyTorch package that includes the most common metric learning layers. |
2022-12-01 15:27:54 |
acleto |
0.0.7 |
A Library for active learning. Supports text classification and sequence tagging tasks. |
2022-11-30 15:40:47 |
bruma |
0.1.0 |
Bruma |
2022-11-30 11:35:04 |
bosque |
0.1.0 |
Bosque |
2022-11-30 11:33:34 |
ciclon |
0.1.0 |
Ciclon |
2022-11-30 11:27:14 |