Name | Version | Summary | date |
torch-workflow-archiver-nightly |
2024.11.20 |
Torch Workflow Archiver is used for creating archives of workflow designed using trained neural net models that can be consumed by TorchServe inference |
2024-11-20 11:44:42 |
torch-model-archiver-nightly |
2024.11.20 |
Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference |
2024-11-20 11:44:41 |
torchlens |
0.1.24 |
A package for extracting activations from PyTorch models |
2024-11-14 15:43:58 |
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 |
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 |
detrain |
0.2.6 |
A package for distributed training & model parallelism using Torch |
2024-05-12 09:44:21 |