| Name | Version | Summary | date |
| optimum-quanto |
0.2.2 |
A pytorch quantization backend for optimum. |
2024-06-28 15:25:10 |
| torchheat |
0.2.0 |
Diffusion based distances in PyTorch |
2024-06-28 13:20:46 |
| torch-workflow-archiver-nightly |
2024.6.28 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-06-28 11:40:26 |
| torch-model-archiver-nightly |
2024.6.28 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-06-28 11:40:21 |
| azula |
0.0.0 |
Diffusion models in PyTorch |
2024-06-21 09:22:42 |
| 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 |
| torchinterp1d |
1.1 |
An interp1d implementation for pytorch |
2024-05-25 00:50:55 |
| quanto |
0.2.0 |
A quantization toolkit for pytorch. |
2024-05-24 10:49:08 |
| twiss |
0.2.6 |
Differentiable Wolski twiss matrices computation for arbitrary dimension stable symplectic matrices |
2024-05-23 15:24:09 |
| torch-workflow-archiver |
0.2.13 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-05-16 18:10:52 |
| torch-model-archiver |
0.11.0 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-05-16 18:10:50 |
| detrain |
0.2.6 |
A package for distributed training & model parallelism using Torch |
2024-05-12 09:44:21 |
| audio-sed |
0.0.1.1 |
Implementation of audio SED architecture for tensorflow and pytorch. |
2024-05-05 18:57:03 |
| torchbricks |
0.3.0 |
Decoupled and modular approach to building multi-task ML models using a single model recipe for all model stages |
2024-04-24 22:54:58 |
| utrc |
0.0.13 |
util torch |
2024-04-19 21:53:52 |
| dtrc |
0.0.15 |
data torch |
2024-04-15 19:36:09 |
| torch-featurelayer |
0.1.1 |
Useful utility functions and wrappers for hooking onto layers within PyTorch models for feature extraction. |
2024-04-15 09:09:32 |
| etrc |
0.0.21 |
PyTorch Enumerations |
2024-04-14 14:05:13 |
| torch-fn |
1.0.0 |
A decorator for seamless PyTorch calculations (primarily on CUDA) from numpy.ndarray and pd.DataFrame. |
2024-04-07 10:33:59 |
| pcts |
0.0.3 |
util torch |
2024-04-06 17:39:37 |