| Name | Version | Summary | date |
| torchlens |
0.1.33 |
A package for extracting activations from PyTorch models |
2025-03-03 20:11:29 |
| statictorch |
0.0.4 |
Provides type annotations for torch tensors. |
2025-02-22 06:17:23 |
| torchruntime |
1.13.0 |
Meant for app developers. A convenient way to install and configure the appropriate version of PyTorch on the user's computer, based on the OS and GPU manufacturer and model number. |
2025-02-13 09:47:32 |
| torch-workflow-archiver-nightly |
2025.2.7 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2025-02-07 11:27:25 |
| torch-model-archiver-nightly |
2025.2.7 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2025-02-07 11:27:23 |
| fish-nnpipeline |
0.0.2 |
Neural Network Pipeline that helps you to build intricate network more easy way. |
2025-01-30 13:12:45 |
| ptlflow |
0.4.0 |
PyTorch Lightning Optical Flow |
2024-12-04 03:26:02 |
| optimum-quanto |
0.2.6 |
A pytorch quantization backend for optimum. |
2024-10-29 17:13:31 |
| torchcnnbuilder |
0.1.4 |
Framework for the automatic creation of CNN architectures |
2024-10-15 17:10:44 |
| azula |
0.2.4 |
Diffusion models in PyTorch |
2024-10-14 20:11:55 |
| cjm-yolox-pytorch |
0.2.0 |
A PyTorch implementation of the YOLOX object detection model based on the mmdetection implementation. |
2024-10-06 18:35:20 |
| owlite |
0.0.8 |
A fake package to warn the user they are not installing the correct package. |
2024-10-02 07:36:45 |
| zuko |
1.3.0 |
Normalizing flows in PyTorch |
2024-10-02 04:26:04 |
| torch-workflow-archiver |
0.2.15 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-09-30 18:57:48 |
| torch-model-archiver |
0.12.0 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-09-30 18:57:46 |
| mmcr |
0.1.0 |
MMCR Loss: Learning efficient coding of natural images with maximum manifold capacity representations |
2024-09-16 08:18:10 |
| torchtostr |
1.2 |
Module for quick and simple transportation of torch tensors arrays by converting them to str and back |
2024-08-04 13:04:14 |
| lampe |
0.9.0 |
Likelihood-free AMortized Posterior Estimation with PyTorch |
2024-07-20 21:52:17 |
| torchheat |
0.2.0 |
Diffusion based distances in PyTorch |
2024-06-28 13:20:46 |
| torchdrivesim |
0.2.2 |
TorchDriveSim is a lightweight 2D driving simulator, built entirely in PyTorch, primarily intended as a training environment for developing autonomous driving algorithms |
2024-05-29 23:07:03 |