| Name | Version | Summary | date |
| pytorch-custom-utils |
0.0.21 |
Pytorch Custom Utils |
2024-07-26 23:29:14 |
| torch-submit |
0.1.20 |
A tool for submitting and managing distributed PyTorch jobs |
2024-07-26 21:02:10 |
| opacus |
1.5.1 |
Train PyTorch models with Differential Privacy |
2024-07-26 16:26:03 |
| transformers |
4.43.3 |
State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow |
2024-07-26 15:30:35 |
| fbgemm-gpu-nightly-cpu |
2024.7.26 |
None |
2024-07-26 13:20:09 |
| torchserve-nightly |
2024.7.26 |
TorchServe is a tool for serving neural net models for inference |
2024-07-26 11:42:43 |
| torchsnapshot-nightly |
2024.7.26 |
A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind. |
2024-07-26 11:31:43 |
| torchx-nightly |
2024.7.26 |
TorchX SDK and Components |
2024-07-26 11:28:44 |
| torchtnt-nightly |
2024.7.26 |
A lightweight library for PyTorch training tools and utilities |
2024-07-26 11:27:46 |
| psnr-hvsm |
0.2.4 |
Accelerated implementations of the PSNR-HVS, PSNR-HVS-M, PSNR-HA and PSNR-HMA image metrics for NumPy and PyTorch |
2024-07-26 10:42:15 |
| executorch |
0.3.0 |
On-device AI across mobile, embedded and edge for PyTorch |
2024-07-25 21:35:31 |
| torcheval-nightly |
2024.7.25 |
A library for providing a simple interface to create new metrics and an easy-to-use toolkit for metric computations and checkpointing. |
2024-07-25 12:06:09 |
| fbgemm-gpu |
0.8.0 |
None |
2024-07-25 03:34:57 |
| fbgemm-gpu-cpu |
0.8.0 |
None |
2024-07-25 01:21:08 |
| torchio |
0.19.9 |
Tools for medical image processing with PyTorch |
2024-07-24 22:19:56 |
| mambavision |
1.0.9 |
MambaVision: A Hybrid Mamba-Transformer Vision Backbone |
2024-07-24 16:26:12 |
| torch |
2.4.0 |
Tensors and Dynamic neural networks in Python with strong GPU acceleration |
2024-07-24 15:27:17 |
| huggingface-hub |
0.24.2 |
Client library to download and publish models, datasets and other repos on the huggingface.co hub |
2024-07-24 14:22:45 |
| posteriors |
0.0.4 |
Uncertainty quantification with PyTorch |
2024-07-24 11:19:01 |
| mindstudio-probe |
1.0.1 |
Pytorch Ascend Probe Utils |
2024-07-23 03:07:38 |