| Name | Version | Summary | date |
| torchdrivesim |
0.2.1 |
TorchDriveSim is a lightweight 2D driving simulator, built entirely in PyTorch, primarily intended as a training environment for developing autonomous driving algorithms |
2024-04-26 00:12:09 |
| torch-workflow-archiver-nightly |
2024.4.25 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-04-25 19:45:05 |
| torch-model-archiver-nightly |
2024.4.25 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-04-25 19:44:57 |
| 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 |
| audio-sed |
0.0.1 |
Implementation of audio SED architecture for tensorflow and pytorch. |
2024-04-07 19:21:53 |
| 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 |
| torchlens |
0.1.15 |
A package for extracting activations from PyTorch models |
2024-04-05 19:04:30 |
| torchist |
0.2.3 |
NumPy-style histograms in PyTorch |
2024-04-03 14:47:53 |
| torchdatasets-nightly |
1711929801 |
PyTorch based library focused on data processing and input pipelines in general. |
2024-04-01 00:03:38 |
| torch-snippets |
0.528 |
One line functions for common tasks |
2024-03-19 09:25:46 |
| torch-workflow-archiver |
0.2.12 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-03-14 21:47:41 |
| torch-model-archiver |
0.10.0 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-03-14 21:47:38 |
| fasttrain |
0.0.7 |
Framework for building training loops easier and faster |
2024-03-14 21:47:19 |
| nemo-aligner |
0.2.0 |
NeMo-Aligner - a toolkit for model alignment |
2024-03-13 23:08:14 |
| quanto |
0.1.0 |
A quantization toolkit for pytorch. |
2024-03-13 08:42:22 |